msb-public
/
PaddleSpeech
mirror of https://github.com/PaddlePaddle/PaddleSpeech
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0
Code Issues Projects Releases Wiki Activity

add pad calc link, test=doc

Browse Source
pull/2189/head
TianYuan 2 years ago
parent 7bbd9097a1
commit dfb09eee55
6 changed files with 457 additions and 499 deletions
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58
demos/speech_server/README.md
Unescape View File

@ -52,7 +52,7 @@ wget -c https://paddlespeech.bj.bcebos.com/PaddleAudio/zh.wav https://paddlespee
- `log_file`: log file. Default: ./log/paddlespeech.log
Output:
```bash
```text
[2022-02-23 11:17:32] [INFO] [server.py:64] Started server process [6384]
INFO: Waiting for application startup.
[2022-02-23 11:17:32] [INFO] [on.py:26] Waiting for application startup.
@ -73,7 +73,7 @@ wget -c https://paddlespeech.bj.bcebos.com/PaddleAudio/zh.wav https://paddlespee
```
Output:
```bash
```text
INFO: Started server process [529]
[2022-02-23 14:57:56] [INFO] [server.py:64] Started server process [529]
INFO: Waiting for application startup.
@ -109,7 +109,7 @@ wget -c https://paddlespeech.bj.bcebos.com/PaddleAudio/zh.wav https://paddlespee
- `audio_format`: Audio format. Default: "wav".
Output:
```bash
```text
[2022-02-23 18:11:22,819] [ INFO] - {'success': True, 'code': 200, 'message': {'description': 'success'}, 'result': {'transcription': '我认为跑步最重要的就是给我带来了身体健康'}}
[2022-02-23 18:11:22,820] [ INFO] - time cost 0.689145 s.
@ -132,7 +132,7 @@ wget -c https://paddlespeech.bj.bcebos.com/PaddleAudio/zh.wav https://paddlespee
```
Output:
```bash
```text
{'success': True, 'code': 200, 'message': {'description': 'success'}, 'result': {'transcription': '我认为跑步最重要的就是给我带来了身体健康'}}
```
@ -161,7 +161,7 @@ wget -c https://paddlespeech.bj.bcebos.com/PaddleAudio/zh.wav https://paddlespee
- `output`: Output wave filepath. Default: None, which means not to save the audio to the local.
Output:
```bash
```text
[2022-02-23 15:20:37,875] [ INFO] - {'description': 'success.'}
[2022-02-23 15:20:37,875] [ INFO] - Save synthesized audio successfully on output.wav.
[2022-02-23 15:20:37,875] [ INFO] - Audio duration: 3.612500 s.
@ -191,7 +191,7 @@ wget -c https://paddlespeech.bj.bcebos.com/PaddleAudio/zh.wav https://paddlespee
```
Output:
```bash
```text
{'description': 'success.'}
Save synthesized audio successfully on ./output.wav.
Audio duration: 3.612500 s.
@ -219,7 +219,7 @@ wget -c https://paddlespeech.bj.bcebos.com/PaddleAudio/zh.wav https://paddlespee
- `topk`: topk scores of classification result.
Output:
```bash
```text
[2022-03-09 20:44:39,974] [ INFO] - {'success': True, 'code': 200, 'message': {'description': 'success'}, 'result': {'topk': 1, 'results': [{'class_name': 'Speech', 'prob': 0.9027184844017029}]}}
[2022-03-09 20:44:39,975] [ INFO] - Response time 0.104360 s.
```
@ -239,7 +239,7 @@ wget -c https://paddlespeech.bj.bcebos.com/PaddleAudio/zh.wav https://paddlespee
```
Output:
```bash
```text
{'success': True, 'code': 200, 'message': {'description': 'success'}, 'result': {'topk': 1, 'results': [{'class_name': 'Speech', 'prob': 0.9027184844017029}]}}
```
@ -272,13 +272,13 @@ wget -c https://paddlespeech.bj.bcebos.com/PaddleAudio/zh.wav https://paddlespee
Output:
```bash
[2022-05-25 12:25:36,165] [ INFO] - vector http client start
[2022-05-25 12:25:36,165] [ INFO] - the input audio: 85236145389.wav
[2022-05-25 12:25:36,165] [ INFO] - endpoint: http://127.0.0.1:8790/paddlespeech/vector
[2022-05-25 12:25:36,166] [ INFO] - http://127.0.0.1:8790/paddlespeech/vector
[2022-05-25 12:25:36,324] [ INFO] - The vector: {'success': True, 'code': 200, 'message': {'description': 'success'}, 'result': {'vec': [-1.3251205682754517, 7.860682487487793, -4.620625972747803, 0.3000721037387848, 2.2648534774780273, -1.1931440830230713, 3.064713716506958, 7.673594951629639, -6.004472732543945, -12.024259567260742, -1.9496068954467773, 3.126953601837158, 1.6188379526138306, -7.638310432434082, -1.2299772500991821, -12.33833122253418, 2.1373026371002197, -5.395712375640869, 9.717328071594238, 5.675230503082275, 3.7805123329162598, 3.0597171783447266, 3.429692029953003, 8.9760103225708, 13.174124717712402, -0.5313228368759155, 8.942471504211426, 4.465109825134277, -4.426247596740723, -9.726503372192383, 8.399328231811523, 7.223917484283447, -7.435853958129883, 2.9441683292388916, -4.343039512634277, -13.886964797973633, -1.6346734762191772, -10.902740478515625, -5.311244964599609, 3.800722122192383, 3.897603750228882, -2.123077392578125, -2.3521194458007812, 4.151031017303467, -7.404866695404053, 0.13911646604537964, 2.4626107215881348, 4.96645450592041, 0.9897574186325073, 5.483975410461426, -3.3574001789093018, 10.13400650024414, -0.6120170950889587, -10.403095245361328, 4.600754261016846, 16.009349822998047, -7.78369140625, -4.194530487060547, -6.93686056137085, 1.1789555549621582, 11.490800857543945, 4.23802375793457, 9.550930976867676, 8.375045776367188, 7.508914470672607, -0.6570729613304138, -0.3005157709121704, 2.8406054973602295, 3.0828027725219727, 0.7308170199394226, 6.1483540534973145, 0.1376611888408661, -13.424735069274902, -7.746140480041504, -2.322798252105713, -8.305252075195312, 2.98791241645813, -10.99522876739502, 0.15211068093776703, -2.3820347785949707, -1.7984174489974976, 8.49562931060791, -5.852236747741699, -3.755497932434082, 0.6989710927009583, -5.270299434661865, -2.6188621520996094, -1.8828465938568115, -4.6466498374938965, 14.078543663024902, -0.5495333075523376, 10.579157829284668, -3.216050148010254, 9.349003791809082, -4.381077766418457, -11.675816535949707, -2.863020658493042, 4.5721755027771, 2.246612071990967, -4.574341773986816, 1.8610187768936157, 2.3767874240875244, 5.625787734985352, -9.784077644348145, 0.6496725678443909, -1.457950472831726, 0.4263263940811157, -4.921126365661621, -2.4547839164733887, 3.4869801998138428, -0.4265422224998474, 8.341268539428711, 1.356552004814148, 7.096688270568848, -13.102828979492188, 8.01673412322998, -7.115934371948242, 1.8699780702590942, 0.20872099697589874, 14.699383735656738, -1.0252779722213745, -2.6107232570648193, -2.5082311630249023, 8.427192687988281, 6.913852691650391, -6.29124641418457, 0.6157366037368774, 2.489687919616699, -3.4668266773223877, 9.92176342010498, 11.200815200805664, -0.19664029777050018, 7.491600513458252, -0.6231271624565125, -0.2584814429283142, -9.947997093200684, -0.9611040949821472, 1.1649218797683716, -2.1907122135162354, -1.502848744392395, -0.5192610621452332, 15.165953636169434, 2.4649462699890137, -0.998044490814209, 7.44166374206543, -2.0768048763275146, 3.5896823406219482, -7.305543422698975, -7.562084674835205, 4.32333517074585, 0.08044180274009705, -6.564010143280029, -2.314805269241333, -1.7642345428466797, -2.470881700515747, -7.6756181716918945, -9.548877716064453, -1.017755389213562, 0.1698644608259201, 2.5877134799957275, -1.8752295970916748, -0.36614322662353516, -6.049378395080566, -2.3965611457824707, -5.945338726043701, 0.9424033164978027, -13.155974388122559, -7.45780086517334, 0.14658108353614807, -3.7427968978881836, 5.841492652893066, -1.2872905731201172, 5.569431304931641, 12.570590019226074, 1.0939218997955322, 2.2142086029052734, 1.9181575775146484, 6.991420745849609, -5.888138771057129, 3.1409823894500732, -2.0036280155181885, 2.4434285163879395, 9.973138809204102, 5.036680221557617, 2.005120277404785, 2.861560344696045, 5.860223770141602, 2.917618751525879, -1.63111412525177, 2.0292205810546875, -4.070415019989014, -6.831437110900879]}}
[2022-05-25 12:25:36,324] [ INFO] - Response time 0.159053 s.
```text
[2022-05-25 12:25:36,165] [ INFO] - vector http client start
[2022-05-25 12:25:36,165] [ INFO] - the input audio: 85236145389.wav
[2022-05-25 12:25:36,165] [ INFO] - endpoint: http://127.0.0.1:8790/paddlespeech/vector
[2022-05-25 12:25:36,166] [ INFO] - http://127.0.0.1:8790/paddlespeech/vector
[2022-05-25 12:25:36,324] [ INFO] - The vector: {'success': True, 'code': 200, 'message': {'description': 'success'}, 'result': {'vec': [-1.3251205682754517, 7.860682487487793, -4.620625972747803, 0.3000721037387848, 2.2648534774780273, -1.1931440830230713, 3.064713716506958, 7.673594951629639, -6.004472732543945, -12.024259567260742, -1.9496068954467773, 3.126953601837158, 1.6188379526138306, -7.638310432434082, -1.2299772500991821, -12.33833122253418, 2.1373026371002197, -5.395712375640869, 9.717328071594238, 5.675230503082275, 3.7805123329162598, 3.0597171783447266, 3.429692029953003, 8.9760103225708, 13.174124717712402, -0.5313228368759155, 8.942471504211426, 4.465109825134277, -4.426247596740723, -9.726503372192383, 8.399328231811523, 7.223917484283447, -7.435853958129883, 2.9441683292388916, -4.343039512634277, -13.886964797973633, -1.6346734762191772, -10.902740478515625, -5.311244964599609, 3.800722122192383, 3.897603750228882, -2.123077392578125, -2.3521194458007812, 4.151031017303467, -7.404866695404053, 0.13911646604537964, 2.4626107215881348, 4.96645450592041, 0.9897574186325073, 5.483975410461426, -3.3574001789093018, 10.13400650024414, -0.6120170950889587, -10.403095245361328, 4.600754261016846, 16.009349822998047, -7.78369140625, -4.194530487060547, -6.93686056137085, 1.1789555549621582, 11.490800857543945, 4.23802375793457, 9.550930976867676, 8.375045776367188, 7.508914470672607, -0.6570729613304138, -0.3005157709121704, 2.8406054973602295, 3.0828027725219727, 0.7308170199394226, 6.1483540534973145, 0.1376611888408661, -13.424735069274902, -7.746140480041504, -2.322798252105713, -8.305252075195312, 2.98791241645813, -10.99522876739502, 0.15211068093776703, -2.3820347785949707, -1.7984174489974976, 8.49562931060791, -5.852236747741699, -3.755497932434082, 0.6989710927009583, -5.270299434661865, -2.6188621520996094, -1.8828465938568115, -4.6466498374938965, 14.078543663024902, -0.5495333075523376, 10.579157829284668, -3.216050148010254, 9.349003791809082, -4.381077766418457, -11.675816535949707, -2.863020658493042, 4.5721755027771, 2.246612071990967, -4.574341773986816, 1.8610187768936157, 2.3767874240875244, 5.625787734985352, -9.784077644348145, 0.6496725678443909, -1.457950472831726, 0.4263263940811157, -4.921126365661621, -2.4547839164733887, 3.4869801998138428, -0.4265422224998474, 8.341268539428711, 1.356552004814148, 7.096688270568848, -13.102828979492188, 8.01673412322998, -7.115934371948242, 1.8699780702590942, 0.20872099697589874, 14.699383735656738, -1.0252779722213745, -2.6107232570648193, -2.5082311630249023, 8.427192687988281, 6.913852691650391, -6.29124641418457, 0.6157366037368774, 2.489687919616699, -3.4668266773223877, 9.92176342010498, 11.200815200805664, -0.19664029777050018, 7.491600513458252, -0.6231271624565125, -0.2584814429283142, -9.947997093200684, -0.9611040949821472, 1.1649218797683716, -2.1907122135162354, -1.502848744392395, -0.5192610621452332, 15.165953636169434, 2.4649462699890137, -0.998044490814209, 7.44166374206543, -2.0768048763275146, 3.5896823406219482, -7.305543422698975, -7.562084674835205, 4.32333517074585, 0.08044180274009705, -6.564010143280029, -2.314805269241333, -1.7642345428466797, -2.470881700515747, -7.6756181716918945, -9.548877716064453, -1.017755389213562, 0.1698644608259201, 2.5877134799957275, -1.8752295970916748, -0.36614322662353516, -6.049378395080566, -2.3965611457824707, -5.945338726043701, 0.9424033164978027, -13.155974388122559, -7.45780086517334, 0.14658108353614807, -3.7427968978881836, 5.841492652893066, -1.2872905731201172, 5.569431304931641, 12.570590019226074, 1.0939218997955322, 2.2142086029052734, 1.9181575775146484, 6.991420745849609, -5.888138771057129, 3.1409823894500732, -2.0036280155181885, 2.4434285163879395, 9.973138809204102, 5.036680221557617, 2.005120277404785, 2.861560344696045, 5.860223770141602, 2.917618751525879, -1.63111412525177, 2.0292205810546875, -4.070415019989014, -6.831437110900879]}}
[2022-05-25 12:25:36,324] [ INFO] - Response time 0.159053 s.
```
* Python API
@ -297,8 +297,8 @@ wget -c https://paddlespeech.bj.bcebos.com/PaddleAudio/zh.wav https://paddlespee
Output:
``` bash
{'success': True, 'code': 200, 'message': {'description': 'success'}, 'result': {'vec': [-1.3251205682754517, 7.860682487487793, -4.620625972747803, 0.3000721037387848, 2.2648534774780273, -1.1931440830230713, 3.064713716506958, 7.673594951629639, -6.004472732543945, -12.024259567260742, -1.9496068954467773, 3.126953601837158, 1.6188379526138306, -7.638310432434082, -1.2299772500991821, -12.33833122253418, 2.1373026371002197, -5.395712375640869, 9.717328071594238, 5.675230503082275, 3.7805123329162598, 3.0597171783447266, 3.429692029953003, 8.9760103225708, 13.174124717712402, -0.5313228368759155, 8.942471504211426, 4.465109825134277, -4.426247596740723, -9.726503372192383, 8.399328231811523, 7.223917484283447, -7.435853958129883, 2.9441683292388916, -4.343039512634277, -13.886964797973633, -1.6346734762191772, -10.902740478515625, -5.311244964599609, 3.800722122192383, 3.897603750228882, -2.123077392578125, -2.3521194458007812, 4.151031017303467, -7.404866695404053, 0.13911646604537964, 2.4626107215881348, 4.96645450592041, 0.9897574186325073, 5.483975410461426, -3.3574001789093018, 10.13400650024414, -0.6120170950889587, -10.403095245361328, 4.600754261016846, 16.009349822998047, -7.78369140625, -4.194530487060547, -6.93686056137085, 1.1789555549621582, 11.490800857543945, 4.23802375793457, 9.550930976867676, 8.375045776367188, 7.508914470672607, -0.6570729613304138, -0.3005157709121704, 2.8406054973602295, 3.0828027725219727, 0.7308170199394226, 6.1483540534973145, 0.1376611888408661, -13.424735069274902, -7.746140480041504, -2.322798252105713, -8.305252075195312, 2.98791241645813, -10.99522876739502, 0.15211068093776703, -2.3820347785949707, -1.7984174489974976, 8.49562931060791, -5.852236747741699, -3.755497932434082, 0.6989710927009583, -5.270299434661865, -2.6188621520996094, -1.8828465938568115, -4.6466498374938965, 14.078543663024902, -0.5495333075523376, 10.579157829284668, -3.216050148010254, 9.349003791809082, -4.381077766418457, -11.675816535949707, -2.863020658493042, 4.5721755027771, 2.246612071990967, -4.574341773986816, 1.8610187768936157, 2.3767874240875244, 5.625787734985352, -9.784077644348145, 0.6496725678443909, -1.457950472831726, 0.4263263940811157, -4.921126365661621, -2.4547839164733887, 3.4869801998138428, -0.4265422224998474, 8.341268539428711, 1.356552004814148, 7.096688270568848, -13.102828979492188, 8.01673412322998, -7.115934371948242, 1.8699780702590942, 0.20872099697589874, 14.699383735656738, -1.0252779722213745, -2.6107232570648193, -2.5082311630249023, 8.427192687988281, 6.913852691650391, -6.29124641418457, 0.6157366037368774, 2.489687919616699, -3.4668266773223877, 9.92176342010498, 11.200815200805664, -0.19664029777050018, 7.491600513458252, -0.6231271624565125, -0.2584814429283142, -9.947997093200684, -0.9611040949821472, 1.1649218797683716, -2.1907122135162354, -1.502848744392395, -0.5192610621452332, 15.165953636169434, 2.4649462699890137, -0.998044490814209, 7.44166374206543, -2.0768048763275146, 3.5896823406219482, -7.305543422698975, -7.562084674835205, 4.32333517074585, 0.08044180274009705, -6.564010143280029, -2.314805269241333, -1.7642345428466797, -2.470881700515747, -7.6756181716918945, -9.548877716064453, -1.017755389213562, 0.1698644608259201, 2.5877134799957275, -1.8752295970916748, -0.36614322662353516, -6.049378395080566, -2.3965611457824707, -5.945338726043701, 0.9424033164978027, -13.155974388122559, -7.45780086517334, 0.14658108353614807, -3.7427968978881836, 5.841492652893066, -1.2872905731201172, 5.569431304931641, 12.570590019226074, 1.0939218997955322, 2.2142086029052734, 1.9181575775146484, 6.991420745849609, -5.888138771057129, 3.1409823894500732, -2.0036280155181885, 2.4434285163879395, 9.973138809204102, 5.036680221557617, 2.005120277404785, 2.861560344696045, 5.860223770141602, 2.917618751525879, -1.63111412525177, 2.0292205810546875, -4.070415019989014, -6.831437110900879]}}
```text
{'success': True, 'code': 200, 'message': {'description': 'success'}, 'result': {'vec': [-1.3251205682754517, 7.860682487487793, -4.620625972747803, 0.3000721037387848, 2.2648534774780273, -1.1931440830230713, 3.064713716506958, 7.673594951629639, -6.004472732543945, -12.024259567260742, -1.9496068954467773, 3.126953601837158, 1.6188379526138306, -7.638310432434082, -1.2299772500991821, -12.33833122253418, 2.1373026371002197, -5.395712375640869, 9.717328071594238, 5.675230503082275, 3.7805123329162598, 3.0597171783447266, 3.429692029953003, 8.9760103225708, 13.174124717712402, -0.5313228368759155, 8.942471504211426, 4.465109825134277, -4.426247596740723, -9.726503372192383, 8.399328231811523, 7.223917484283447, -7.435853958129883, 2.9441683292388916, -4.343039512634277, -13.886964797973633, -1.6346734762191772, -10.902740478515625, -5.311244964599609, 3.800722122192383, 3.897603750228882, -2.123077392578125, -2.3521194458007812, 4.151031017303467, -7.404866695404053, 0.13911646604537964, 2.4626107215881348, 4.96645450592041, 0.9897574186325073, 5.483975410461426, -3.3574001789093018, 10.13400650024414, -0.6120170950889587, -10.403095245361328, 4.600754261016846, 16.009349822998047, -7.78369140625, -4.194530487060547, -6.93686056137085, 1.1789555549621582, 11.490800857543945, 4.23802375793457, 9.550930976867676, 8.375045776367188, 7.508914470672607, -0.6570729613304138, -0.3005157709121704, 2.8406054973602295, 3.0828027725219727, 0.7308170199394226, 6.1483540534973145, 0.1376611888408661, -13.424735069274902, -7.746140480041504, -2.322798252105713, -8.305252075195312, 2.98791241645813, -10.99522876739502, 0.15211068093776703, -2.3820347785949707, -1.7984174489974976, 8.49562931060791, -5.852236747741699, -3.755497932434082, 0.6989710927009583, -5.270299434661865, -2.6188621520996094, -1.8828465938568115, -4.6466498374938965, 14.078543663024902, -0.5495333075523376, 10.579157829284668, -3.216050148010254, 9.349003791809082, -4.381077766418457, -11.675816535949707, -2.863020658493042, 4.5721755027771, 2.246612071990967, -4.574341773986816, 1.8610187768936157, 2.3767874240875244, 5.625787734985352, -9.784077644348145, 0.6496725678443909, -1.457950472831726, 0.4263263940811157, -4.921126365661621, -2.4547839164733887, 3.4869801998138428, -0.4265422224998474, 8.341268539428711, 1.356552004814148, 7.096688270568848, -13.102828979492188, 8.01673412322998, -7.115934371948242, 1.8699780702590942, 0.20872099697589874, 14.699383735656738, -1.0252779722213745, -2.6107232570648193, -2.5082311630249023, 8.427192687988281, 6.913852691650391, -6.29124641418457, 0.6157366037368774, 2.489687919616699, -3.4668266773223877, 9.92176342010498, 11.200815200805664, -0.19664029777050018, 7.491600513458252, -0.6231271624565125, -0.2584814429283142, -9.947997093200684, -0.9611040949821472, 1.1649218797683716, -2.1907122135162354, -1.502848744392395, -0.5192610621452332, 15.165953636169434, 2.4649462699890137, -0.998044490814209, 7.44166374206543, -2.0768048763275146, 3.5896823406219482, -7.305543422698975, -7.562084674835205, 4.32333517074585, 0.08044180274009705, -6.564010143280029, -2.314805269241333, -1.7642345428466797, -2.470881700515747, -7.6756181716918945, -9.548877716064453, -1.017755389213562, 0.1698644608259201, 2.5877134799957275, -1.8752295970916748, -0.36614322662353516, -6.049378395080566, -2.3965611457824707, -5.945338726043701, 0.9424033164978027, -13.155974388122559, -7.45780086517334, 0.14658108353614807, -3.7427968978881836, 5.841492652893066, -1.2872905731201172, 5.569431304931641, 12.570590019226074, 1.0939218997955322, 2.2142086029052734, 1.9181575775146484, 6.991420745849609, -5.888138771057129, 3.1409823894500732, -2.0036280155181885, 2.4434285163879395, 9.973138809204102, 5.036680221557617, 2.005120277404785, 2.861560344696045, 5.860223770141602, 2.917618751525879, -1.63111412525177, 2.0292205810546875, -4.070415019989014, -6.831437110900879]}}
```
#### 7.2 Get the score between speaker audio embedding
@ -329,13 +329,13 @@ wget -c https://paddlespeech.bj.bcebos.com/PaddleAudio/zh.wav https://paddlespee
Output:
``` bash
[2022-05-25 12:33:24,527] [ INFO] - vector score http client start
[2022-05-25 12:33:24,527] [ INFO] - enroll audio: 85236145389.wav, test audio: 123456789.wav
[2022-05-25 12:33:24,528] [ INFO] - endpoint: http://127.0.0.1:8790/paddlespeech/vector/score
[2022-05-25 12:33:24,695] [ INFO] - The vector score is: {'success': True, 'code': 200, 'message': {'description': 'success'}, 'result': {'score': 0.45332613587379456}}
[2022-05-25 12:33:24,696] [ INFO] - The vector: {'success': True, 'code': 200, 'message': {'description': 'success'}, 'result': {'score': 0.45332613587379456}}
[2022-05-25 12:33:24,696] [ INFO] - Response time 0.168271 s.
```text
[2022-05-25 12:33:24,527] [ INFO] - vector score http client start
[2022-05-25 12:33:24,527] [ INFO] - enroll audio: 85236145389.wav, test audio: 123456789.wav
[2022-05-25 12:33:24,528] [ INFO] - endpoint: http://127.0.0.1:8790/paddlespeech/vector/score
[2022-05-25 12:33:24,695] [ INFO] - The vector score is: {'success': True, 'code': 200, 'message': {'description': 'success'}, 'result': {'score': 0.45332613587379456}}
[2022-05-25 12:33:24,696] [ INFO] - The vector: {'success': True, 'code': 200, 'message': {'description': 'success'}, 'result': {'score': 0.45332613587379456}}
[2022-05-25 12:33:24,696] [ INFO] - Response time 0.168271 s.
```
* Python API
@ -356,7 +356,7 @@ wget -c https://paddlespeech.bj.bcebos.com/PaddleAudio/zh.wav https://paddlespee
Output:
``` bash
```text
[2022-05-25 12:30:14,143] [ INFO] - vector score http client start
[2022-05-25 12:30:14,143] [ INFO] - enroll audio: 85236145389.wav, test audio: 123456789.wav
[2022-05-25 12:30:14,143] [ INFO] - endpoint: http://127.0.0.1:8790/paddlespeech/vector/score
@ -387,9 +387,9 @@ wget -c https://paddlespeech.bj.bcebos.com/PaddleAudio/zh.wav https://paddlespee
- `input`(required): Input text to get punctuation.
Output:
```bash
[2022-05-09 18:19:04,397] [ INFO] - The punc text: 我认为跑步最重要的就是给我带来了身体健康。
[2022-05-09 18:19:04,397] [ INFO] - Response time 0.092407 s.
```text
[2022-05-09 18:19:04,397] [ INFO] - The punc text: 我认为跑步最重要的就是给我带来了身体健康。
[2022-05-09 18:19:04,397] [ INFO] - Response time 0.092407 s.
```
- Python API
@ -406,7 +406,7 @@ wget -c https://paddlespeech.bj.bcebos.com/PaddleAudio/zh.wav https://paddlespee
```
Output:
```bash
```text
我认为跑步最重要的就是给我带来了身体健康。
```

71
demos/speech_server/README_cn.md
Unescape View File

@ -55,7 +55,7 @@ wget -c https://paddlespeech.bj.bcebos.com/PaddleAudio/zh.wav https://paddlespee
- `log_file`: log 文件. 默认：./log/paddlespeech.log
输出:
```bash
```text
[2022-02-23 11:17:32] [INFO] [server.py:64] Started server process [6384]
INFO: Waiting for application startup.
[2022-02-23 11:17:32] [INFO] [on.py:26] Waiting for application startup.
@ -76,7 +76,7 @@ wget -c https://paddlespeech.bj.bcebos.com/PaddleAudio/zh.wav https://paddlespee
```
输出：
```bash
```text
INFO: Started server process [529]
[2022-02-23 14:57:56] [INFO] [server.py:64] Started server process [529]
INFO: Waiting for application startup.
@ -113,8 +113,7 @@ wget -c https://paddlespeech.bj.bcebos.com/PaddleAudio/zh.wav https://paddlespee
- `audio_format`: 音频格式，默认值：wav。
输出:
```bash
```text
[2022-02-23 18:11:22,819] [ INFO] - {'success': True, 'code': 200, 'message': {'description': 'success'}, 'result': {'transcription': '我认为跑步最重要的就是给我带来了身体健康'}}
[2022-02-23 18:11:22,820] [ INFO] - time cost 0.689145 s.
```
@ -136,9 +135,8 @@ wget -c https://paddlespeech.bj.bcebos.com/PaddleAudio/zh.wav https://paddlespee
```
输出:
```bash
```text
{'success': True, 'code': 200, 'message': {'description': 'success'}, 'result': {'transcription': '我认为跑步最重要的就是给我带来了身体健康'}}
```
### 5. TTS 客户端使用方法
@ -167,7 +165,7 @@ wget -c https://paddlespeech.bj.bcebos.com/PaddleAudio/zh.wav https://paddlespee
- `output`: 输出音频的路径， 默认值：None，表示不保存音频到本地。
输出:
```bash
```text
[2022-02-23 15:20:37,875] [ INFO] - {'description': 'success.'}
[2022-02-23 15:20:37,875] [ INFO] - Save synthesized audio successfully on output.wav.
[2022-02-23 15:20:37,875] [ INFO] - Audio duration: 3.612500 s.
@ -197,7 +195,7 @@ wget -c https://paddlespeech.bj.bcebos.com/PaddleAudio/zh.wav https://paddlespee
```
输出:
```bash
```text
{'description': 'success.'}
Save synthesized audio successfully on ./output.wav.
Audio duration: 3.612500 s.
@ -227,11 +225,9 @@ wget -c https://paddlespeech.bj.bcebos.com/PaddleAudio/zh.wav https://paddlespee
- `topk`: 分类结果的topk。
输出:
```bash
```text
[2022-03-09 20:44:39,974] [ INFO] - {'success': True, 'code': 200, 'message': {'description': 'success'}, 'result': {'topk': 1, 'results': [{'class_name': 'Speech', 'prob': 0.9027184844017029}]}}
[2022-03-09 20:44:39,975] [ INFO] - Response time 0.104360 s.
```
- Python API
@ -249,9 +245,8 @@ wget -c https://paddlespeech.bj.bcebos.com/PaddleAudio/zh.wav https://paddlespee
```
输出:
```bash
```text
{'success': True, 'code': 200, 'message': {'description': 'success'}, 'result': {'topk': 1, 'results': [{'class_name': 'Speech', 'prob': 0.9027184844017029}]}}
```
### 7. 声纹客户端使用方法
@ -278,15 +273,15 @@ wget -c https://paddlespeech.bj.bcebos.com/PaddleAudio/zh.wav https://paddlespee
* task: vector 的任务，可选spk或者score。默认是 spk。
* enroll: 注册音频；。
* test: 测试音频。
输出:
```bash
[2022-05-25 12:25:36,165] [ INFO] - vector http client start
[2022-05-25 12:25:36,165] [ INFO] - the input audio: 85236145389.wav
[2022-05-25 12:25:36,165] [ INFO] - endpoint: http://127.0.0.1:8790/paddlespeech/vector
[2022-05-25 12:25:36,166] [ INFO] - http://127.0.0.1:8790/paddlespeech/vector
[2022-05-25 12:25:36,324] [ INFO] - The vector: {'success': True, 'code': 200, 'message': {'description': 'success'}, 'result': {'vec': [-1.3251205682754517, 7.860682487487793, -4.620625972747803, 0.3000721037387848, 2.2648534774780273, -1.1931440830230713, 3.064713716506958, 7.673594951629639, -6.004472732543945, -12.024259567260742, -1.9496068954467773, 3.126953601837158, 1.6188379526138306, -7.638310432434082, -1.2299772500991821, -12.33833122253418, 2.1373026371002197, -5.395712375640869, 9.717328071594238, 5.675230503082275, 3.7805123329162598, 3.0597171783447266, 3.429692029953003, 8.9760103225708, 13.174124717712402, -0.5313228368759155, 8.942471504211426, 4.465109825134277, -4.426247596740723, -9.726503372192383, 8.399328231811523, 7.223917484283447, -7.435853958129883, 2.9441683292388916, -4.343039512634277, -13.886964797973633, -1.6346734762191772, -10.902740478515625, -5.311244964599609, 3.800722122192383, 3.897603750228882, -2.123077392578125, -2.3521194458007812, 4.151031017303467, -7.404866695404053, 0.13911646604537964, 2.4626107215881348, 4.96645450592041, 0.9897574186325073, 5.483975410461426, -3.3574001789093018, 10.13400650024414, -0.6120170950889587, -10.403095245361328, 4.600754261016846, 16.009349822998047, -7.78369140625, -4.194530487060547, -6.93686056137085, 1.1789555549621582, 11.490800857543945, 4.23802375793457, 9.550930976867676, 8.375045776367188, 7.508914470672607, -0.6570729613304138, -0.3005157709121704, 2.8406054973602295, 3.0828027725219727, 0.7308170199394226, 6.1483540534973145, 0.1376611888408661, -13.424735069274902, -7.746140480041504, -2.322798252105713, -8.305252075195312, 2.98791241645813, -10.99522876739502, 0.15211068093776703, -2.3820347785949707, -1.7984174489974976, 8.49562931060791, -5.852236747741699, -3.755497932434082, 0.6989710927009583, -5.270299434661865, -2.6188621520996094, -1.8828465938568115, -4.6466498374938965, 14.078543663024902, -0.5495333075523376, 10.579157829284668, -3.216050148010254, 9.349003791809082, -4.381077766418457, -11.675816535949707, -2.863020658493042, 4.5721755027771, 2.246612071990967, -4.574341773986816, 1.8610187768936157, 2.3767874240875244, 5.625787734985352, -9.784077644348145, 0.6496725678443909, -1.457950472831726, 0.4263263940811157, -4.921126365661621, -2.4547839164733887, 3.4869801998138428, -0.4265422224998474, 8.341268539428711, 1.356552004814148, 7.096688270568848, -13.102828979492188, 8.01673412322998, -7.115934371948242, 1.8699780702590942, 0.20872099697589874, 14.699383735656738, -1.0252779722213745, -2.6107232570648193, -2.5082311630249023, 8.427192687988281, 6.913852691650391, -6.29124641418457, 0.6157366037368774, 2.489687919616699, -3.4668266773223877, 9.92176342010498, 11.200815200805664, -0.19664029777050018, 7.491600513458252, -0.6231271624565125, -0.2584814429283142, -9.947997093200684, -0.9611040949821472, 1.1649218797683716, -2.1907122135162354, -1.502848744392395, -0.5192610621452332, 15.165953636169434, 2.4649462699890137, -0.998044490814209, 7.44166374206543, -2.0768048763275146, 3.5896823406219482, -7.305543422698975, -7.562084674835205, 4.32333517074585, 0.08044180274009705, -6.564010143280029, -2.314805269241333, -1.7642345428466797, -2.470881700515747, -7.6756181716918945, -9.548877716064453, -1.017755389213562, 0.1698644608259201, 2.5877134799957275, -1.8752295970916748, -0.36614322662353516, -6.049378395080566, -2.3965611457824707, -5.945338726043701, 0.9424033164978027, -13.155974388122559, -7.45780086517334, 0.14658108353614807, -3.7427968978881836, 5.841492652893066, -1.2872905731201172, 5.569431304931641, 12.570590019226074, 1.0939218997955322, 2.2142086029052734, 1.9181575775146484, 6.991420745849609, -5.888138771057129, 3.1409823894500732, -2.0036280155181885, 2.4434285163879395, 9.973138809204102, 5.036680221557617, 2.005120277404785, 2.861560344696045, 5.860223770141602, 2.917618751525879, -1.63111412525177, 2.0292205810546875, -4.070415019989014, -6.831437110900879]}}
[2022-05-25 12:25:36,324] [ INFO] - Response time 0.159053 s.
输出:
```text
[2022-05-25 12:25:36,165] [ INFO] - vector http client start
[2022-05-25 12:25:36,165] [ INFO] - the input audio: 85236145389.wav
[2022-05-25 12:25:36,165] [ INFO] - endpoint: http://127.0.0.1:8790/paddlespeech/vector
[2022-05-25 12:25:36,166] [ INFO] - http://127.0.0.1:8790/paddlespeech/vector
[2022-05-25 12:25:36,324] [ INFO] - The vector: {'success': True, 'code': 200, 'message': {'description': 'success'}, 'result': {'vec': [-1.3251205682754517, 7.860682487487793, -4.620625972747803, 0.3000721037387848, 2.2648534774780273, -1.1931440830230713, 3.064713716506958, 7.673594951629639, -6.004472732543945, -12.024259567260742, -1.9496068954467773, 3.126953601837158, 1.6188379526138306, -7.638310432434082, -1.2299772500991821, -12.33833122253418, 2.1373026371002197, -5.395712375640869, 9.717328071594238, 5.675230503082275, 3.7805123329162598, 3.0597171783447266, 3.429692029953003, 8.9760103225708, 13.174124717712402, -0.5313228368759155, 8.942471504211426, 4.465109825134277, -4.426247596740723, -9.726503372192383, 8.399328231811523, 7.223917484283447, -7.435853958129883, 2.9441683292388916, -4.343039512634277, -13.886964797973633, -1.6346734762191772, -10.902740478515625, -5.311244964599609, 3.800722122192383, 3.897603750228882, -2.123077392578125, -2.3521194458007812, 4.151031017303467, -7.404866695404053, 0.13911646604537964, 2.4626107215881348, 4.96645450592041, 0.9897574186325073, 5.483975410461426, -3.3574001789093018, 10.13400650024414, -0.6120170950889587, -10.403095245361328, 4.600754261016846, 16.009349822998047, -7.78369140625, -4.194530487060547, -6.93686056137085, 1.1789555549621582, 11.490800857543945, 4.23802375793457, 9.550930976867676, 8.375045776367188, 7.508914470672607, -0.6570729613304138, -0.3005157709121704, 2.8406054973602295, 3.0828027725219727, 0.7308170199394226, 6.1483540534973145, 0.1376611888408661, -13.424735069274902, -7.746140480041504, -2.322798252105713, -8.305252075195312, 2.98791241645813, -10.99522876739502, 0.15211068093776703, -2.3820347785949707, -1.7984174489974976, 8.49562931060791, -5.852236747741699, -3.755497932434082, 0.6989710927009583, -5.270299434661865, -2.6188621520996094, -1.8828465938568115, -4.6466498374938965, 14.078543663024902, -0.5495333075523376, 10.579157829284668, -3.216050148010254, 9.349003791809082, -4.381077766418457, -11.675816535949707, -2.863020658493042, 4.5721755027771, 2.246612071990967, -4.574341773986816, 1.8610187768936157, 2.3767874240875244, 5.625787734985352, -9.784077644348145, 0.6496725678443909, -1.457950472831726, 0.4263263940811157, -4.921126365661621, -2.4547839164733887, 3.4869801998138428, -0.4265422224998474, 8.341268539428711, 1.356552004814148, 7.096688270568848, -13.102828979492188, 8.01673412322998, -7.115934371948242, 1.8699780702590942, 0.20872099697589874, 14.699383735656738, -1.0252779722213745, -2.6107232570648193, -2.5082311630249023, 8.427192687988281, 6.913852691650391, -6.29124641418457, 0.6157366037368774, 2.489687919616699, -3.4668266773223877, 9.92176342010498, 11.200815200805664, -0.19664029777050018, 7.491600513458252, -0.6231271624565125, -0.2584814429283142, -9.947997093200684, -0.9611040949821472, 1.1649218797683716, -2.1907122135162354, -1.502848744392395, -0.5192610621452332, 15.165953636169434, 2.4649462699890137, -0.998044490814209, 7.44166374206543, -2.0768048763275146, 3.5896823406219482, -7.305543422698975, -7.562084674835205, 4.32333517074585, 0.08044180274009705, -6.564010143280029, -2.314805269241333, -1.7642345428466797, -2.470881700515747, -7.6756181716918945, -9.548877716064453, -1.017755389213562, 0.1698644608259201, 2.5877134799957275, -1.8752295970916748, -0.36614322662353516, -6.049378395080566, -2.3965611457824707, -5.945338726043701, 0.9424033164978027, -13.155974388122559, -7.45780086517334, 0.14658108353614807, -3.7427968978881836, 5.841492652893066, -1.2872905731201172, 5.569431304931641, 12.570590019226074, 1.0939218997955322, 2.2142086029052734, 1.9181575775146484, 6.991420745849609, -5.888138771057129, 3.1409823894500732, -2.0036280155181885, 2.4434285163879395, 9.973138809204102, 5.036680221557617, 2.005120277404785, 2.861560344696045, 5.860223770141602, 2.917618751525879, -1.63111412525177, 2.0292205810546875, -4.070415019989014, -6.831437110900879]}}
[2022-05-25 12:25:36,324] [ INFO] - Response time 0.159053 s.
```
* Python API
@ -304,9 +299,8 @@ wget -c https://paddlespeech.bj.bcebos.com/PaddleAudio/zh.wav https://paddlespee
```
输出:
``` bash
{'success': True, 'code': 200, 'message': {'description': 'success'}, 'result': {'vec': [-1.3251205682754517, 7.860682487487793, -4.620625972747803, 0.3000721037387848, 2.2648534774780273, -1.1931440830230713, 3.064713716506958, 7.673594951629639, -6.004472732543945, -12.024259567260742, -1.9496068954467773, 3.126953601837158, 1.6188379526138306, -7.638310432434082, -1.2299772500991821, -12.33833122253418, 2.1373026371002197, -5.395712375640869, 9.717328071594238, 5.675230503082275, 3.7805123329162598, 3.0597171783447266, 3.429692029953003, 8.9760103225708, 13.174124717712402, -0.5313228368759155, 8.942471504211426, 4.465109825134277, -4.426247596740723, -9.726503372192383, 8.399328231811523, 7.223917484283447, -7.435853958129883, 2.9441683292388916, -4.343039512634277, -13.886964797973633, -1.6346734762191772, -10.902740478515625, -5.311244964599609, 3.800722122192383, 3.897603750228882, -2.123077392578125, -2.3521194458007812, 4.151031017303467, -7.404866695404053, 0.13911646604537964, 2.4626107215881348, 4.96645450592041, 0.9897574186325073, 5.483975410461426, -3.3574001789093018, 10.13400650024414, -0.6120170950889587, -10.403095245361328, 4.600754261016846, 16.009349822998047, -7.78369140625, -4.194530487060547, -6.93686056137085, 1.1789555549621582, 11.490800857543945, 4.23802375793457, 9.550930976867676, 8.375045776367188, 7.508914470672607, -0.6570729613304138, -0.3005157709121704, 2.8406054973602295, 3.0828027725219727, 0.7308170199394226, 6.1483540534973145, 0.1376611888408661, -13.424735069274902, -7.746140480041504, -2.322798252105713, -8.305252075195312, 2.98791241645813, -10.99522876739502, 0.15211068093776703, -2.3820347785949707, -1.7984174489974976, 8.49562931060791, -5.852236747741699, -3.755497932434082, 0.6989710927009583, -5.270299434661865, -2.6188621520996094, -1.8828465938568115, -4.6466498374938965, 14.078543663024902, -0.5495333075523376, 10.579157829284668, -3.216050148010254, 9.349003791809082, -4.381077766418457, -11.675816535949707, -2.863020658493042, 4.5721755027771, 2.246612071990967, -4.574341773986816, 1.8610187768936157, 2.3767874240875244, 5.625787734985352, -9.784077644348145, 0.6496725678443909, -1.457950472831726, 0.4263263940811157, -4.921126365661621, -2.4547839164733887, 3.4869801998138428, -0.4265422224998474, 8.341268539428711, 1.356552004814148, 7.096688270568848, -13.102828979492188, 8.01673412322998, -7.115934371948242, 1.8699780702590942, 0.20872099697589874, 14.699383735656738, -1.0252779722213745, -2.6107232570648193, -2.5082311630249023, 8.427192687988281, 6.913852691650391, -6.29124641418457, 0.6157366037368774, 2.489687919616699, -3.4668266773223877, 9.92176342010498, 11.200815200805664, -0.19664029777050018, 7.491600513458252, -0.6231271624565125, -0.2584814429283142, -9.947997093200684, -0.9611040949821472, 1.1649218797683716, -2.1907122135162354, -1.502848744392395, -0.5192610621452332, 15.165953636169434, 2.4649462699890137, -0.998044490814209, 7.44166374206543, -2.0768048763275146, 3.5896823406219482, -7.305543422698975, -7.562084674835205, 4.32333517074585, 0.08044180274009705, -6.564010143280029, -2.314805269241333, -1.7642345428466797, -2.470881700515747, -7.6756181716918945, -9.548877716064453, -1.017755389213562, 0.1698644608259201, 2.5877134799957275, -1.8752295970916748, -0.36614322662353516, -6.049378395080566, -2.3965611457824707, -5.945338726043701, 0.9424033164978027, -13.155974388122559, -7.45780086517334, 0.14658108353614807, -3.7427968978881836, 5.841492652893066, -1.2872905731201172, 5.569431304931641, 12.570590019226074, 1.0939218997955322, 2.2142086029052734, 1.9181575775146484, 6.991420745849609, -5.888138771057129, 3.1409823894500732, -2.0036280155181885, 2.4434285163879395, 9.973138809204102, 5.036680221557617, 2.005120277404785, 2.861560344696045, 5.860223770141602, 2.917618751525879, -1.63111412525177, 2.0292205810546875, -4.070415019989014, -6.831437110900879]}}
```text
{'success': True, 'code': 200, 'message': {'description': 'success'}, 'result': {'vec': [-1.3251205682754517, 7.860682487487793, -4.620625972747803, 0.3000721037387848, 2.2648534774780273, -1.1931440830230713, 3.064713716506958, 7.673594951629639, -6.004472732543945, -12.024259567260742, -1.9496068954467773, 3.126953601837158, 1.6188379526138306, -7.638310432434082, -1.2299772500991821, -12.33833122253418, 2.1373026371002197, -5.395712375640869, 9.717328071594238, 5.675230503082275, 3.7805123329162598, 3.0597171783447266, 3.429692029953003, 8.9760103225708, 13.174124717712402, -0.5313228368759155, 8.942471504211426, 4.465109825134277, -4.426247596740723, -9.726503372192383, 8.399328231811523, 7.223917484283447, -7.435853958129883, 2.9441683292388916, -4.343039512634277, -13.886964797973633, -1.6346734762191772, -10.902740478515625, -5.311244964599609, 3.800722122192383, 3.897603750228882, -2.123077392578125, -2.3521194458007812, 4.151031017303467, -7.404866695404053, 0.13911646604537964, 2.4626107215881348, 4.96645450592041, 0.9897574186325073, 5.483975410461426, -3.3574001789093018, 10.13400650024414, -0.6120170950889587, -10.403095245361328, 4.600754261016846, 16.009349822998047, -7.78369140625, -4.194530487060547, -6.93686056137085, 1.1789555549621582, 11.490800857543945, 4.23802375793457, 9.550930976867676, 8.375045776367188, 7.508914470672607, -0.6570729613304138, -0.3005157709121704, 2.8406054973602295, 3.0828027725219727, 0.7308170199394226, 6.1483540534973145, 0.1376611888408661, -13.424735069274902, -7.746140480041504, -2.322798252105713, -8.305252075195312, 2.98791241645813, -10.99522876739502, 0.15211068093776703, -2.3820347785949707, -1.7984174489974976, 8.49562931060791, -5.852236747741699, -3.755497932434082, 0.6989710927009583, -5.270299434661865, -2.6188621520996094, -1.8828465938568115, -4.6466498374938965, 14.078543663024902, -0.5495333075523376, 10.579157829284668, -3.216050148010254, 9.349003791809082, -4.381077766418457, -11.675816535949707, -2.863020658493042, 4.5721755027771, 2.246612071990967, -4.574341773986816, 1.8610187768936157, 2.3767874240875244, 5.625787734985352, -9.784077644348145, 0.6496725678443909, -1.457950472831726, 0.4263263940811157, -4.921126365661621, -2.4547839164733887, 3.4869801998138428, -0.4265422224998474, 8.341268539428711, 1.356552004814148, 7.096688270568848, -13.102828979492188, 8.01673412322998, -7.115934371948242, 1.8699780702590942, 0.20872099697589874, 14.699383735656738, -1.0252779722213745, -2.6107232570648193, -2.5082311630249023, 8.427192687988281, 6.913852691650391, -6.29124641418457, 0.6157366037368774, 2.489687919616699, -3.4668266773223877, 9.92176342010498, 11.200815200805664, -0.19664029777050018, 7.491600513458252, -0.6231271624565125, -0.2584814429283142, -9.947997093200684, -0.9611040949821472, 1.1649218797683716, -2.1907122135162354, -1.502848744392395, -0.5192610621452332, 15.165953636169434, 2.4649462699890137, -0.998044490814209, 7.44166374206543, -2.0768048763275146, 3.5896823406219482, -7.305543422698975, -7.562084674835205, 4.32333517074585, 0.08044180274009705, -6.564010143280029, -2.314805269241333, -1.7642345428466797, -2.470881700515747, -7.6756181716918945, -9.548877716064453, -1.017755389213562, 0.1698644608259201, 2.5877134799957275, -1.8752295970916748, -0.36614322662353516, -6.049378395080566, -2.3965611457824707, -5.945338726043701, 0.9424033164978027, -13.155974388122559, -7.45780086517334, 0.14658108353614807, -3.7427968978881836, 5.841492652893066, -1.2872905731201172, 5.569431304931641, 12.570590019226074, 1.0939218997955322, 2.2142086029052734, 1.9181575775146484, 6.991420745849609, -5.888138771057129, 3.1409823894500732, -2.0036280155181885, 2.4434285163879395, 9.973138809204102, 5.036680221557617, 2.005120277404785, 2.861560344696045, 5.860223770141602, 2.917618751525879, -1.63111412525177, 2.0292205810546875, -4.070415019989014, -6.831437110900879]}}
```
#### 7.2 音频声纹打分
@ -335,19 +329,18 @@ wget -c https://paddlespeech.bj.bcebos.com/PaddleAudio/zh.wav https://paddlespee
* test: 测试音频。
输出:
``` bash
[2022-05-25 12:33:24,527] [ INFO] - vector score http client start
[2022-05-25 12:33:24,527] [ INFO] - enroll audio: 85236145389.wav, test audio: 123456789.wav
[2022-05-25 12:33:24,528] [ INFO] - endpoint: http://127.0.0.1:8790/paddlespeech/vector/score
[2022-05-25 12:33:24,695] [ INFO] - The vector score is: {'success': True, 'code': 200, 'message': {'description': 'success'}, 'result': {'score': 0.45332613587379456}}
[2022-05-25 12:33:24,696] [ INFO] - The vector: {'success': True, 'code': 200, 'message': {'description': 'success'}, 'result': {'score': 0.45332613587379456}}
[2022-05-25 12:33:24,696] [ INFO] - Response time 0.168271 s.
```text
[2022-05-25 12:33:24,527] [ INFO] - vector score http client start
[2022-05-25 12:33:24,527] [ INFO] - enroll audio: 85236145389.wav, test audio: 123456789.wav
[2022-05-25 12:33:24,528] [ INFO] - endpoint: http://127.0.0.1:8790/paddlespeech/vector/score
[2022-05-25 12:33:24,695] [ INFO] - The vector score is: {'success': True, 'code': 200, 'message': {'description': 'success'}, 'result': {'score': 0.45332613587379456}}
[2022-05-25 12:33:24,696] [ INFO] - The vector: {'success': True, 'code': 200, 'message': {'description': 'success'}, 'result': {'score': 0.45332613587379456}}
[2022-05-25 12:33:24,696] [ INFO] - Response time 0.168271 s.
```
* Python API
``` python
```python
from paddlespeech.server.bin.paddlespeech_client import VectorClientExecutor
vectorclient_executor = VectorClientExecutor()
@ -362,8 +355,7 @@ wget -c https://paddlespeech.bj.bcebos.com/PaddleAudio/zh.wav https://paddlespee
```
输出:
``` bash
```text
[2022-05-25 12:30:14,143] [ INFO] - vector score http client start
[2022-05-25 12:30:14,143] [ INFO] - enroll audio: 85236145389.wav, test audio: 123456789.wav
[2022-05-25 12:30:14,143] [ INFO] - endpoint: http://127.0.0.1:8790/paddlespeech/vector/score
@ -371,7 +363,6 @@ wget -c https://paddlespeech.bj.bcebos.com/PaddleAudio/zh.wav https://paddlespee
{'success': True, 'code': 200, 'message': {'description': 'success'}, 'result': {'score': 0.45332613587379456}}
```
### 8. 标点预测
**注意：** 初次使用客户端时响应时间会略长
@ -394,9 +385,9 @@ wget -c https://paddlespeech.bj.bcebos.com/PaddleAudio/zh.wav https://paddlespee
- `input`(必须输入): 用于标点预测的文本内容。
输出:
```bash
[2022-05-09 18:19:04,397] [ INFO] - The punc text: 我认为跑步最重要的就是给我带来了身体健康。
[2022-05-09 18:19:04,397] [ INFO] - Response time 0.092407 s.
```text
[2022-05-09 18:19:04,397] [ INFO] - The punc text: 我认为跑步最重要的就是给我带来了身体健康。
[2022-05-09 18:19:04,397] [ INFO] - Response time 0.092407 s.
```
- Python API
@ -412,7 +403,7 @@ wget -c https://paddlespeech.bj.bcebos.com/PaddleAudio/zh.wav https://paddlespee
```
输出:
```bash
```text
我认为跑步最重要的就是给我带来了身体健康。
```

296
demos/streaming_asr_server/README.md
Unescape View File

@ -53,28 +53,28 @@ wget -c https://paddlespeech.bj.bcebos.com/PaddleAudio/zh.wav
- `log_file`: log file. Default: `./log/paddlespeech.log`
Output:
```bash
[2022-05-14 04:56:13,086] [ INFO] - create the online asr engine instance
[2022-05-14 04:56:13,086] [ INFO] - paddlespeech_server set the device: cpu
[2022-05-14 04:56:13,087] [ INFO] - Load the pretrained model, tag = conformer_online_wenetspeech-zh-16k
[2022-05-14 04:56:13,087] [ INFO] - File /root/.paddlespeech/models/conformer_online_wenetspeech-zh-16k/asr1_chunk_conformer_wenetspeech_ckpt_1.0.0a.model.tar.gz md5 checking...
[2022-05-14 04:56:17,542] [ INFO] - Use pretrained model stored in: /root/.paddlespeech/models/conformer_online_wenetspeech-zh-16k/asr1_chunk_conformer_wenetspeech_ckpt_1. 0.0a.model.tar
[2022-05-14 04:56:17,543] [ INFO] - /root/.paddlespeech/models/conformer_online_wenetspeech-zh-16k/asr1_chunk_conformer_wenetspeech_ckpt_1.0.0a.model.tar
[2022-05-14 04:56:17,543] [ INFO] - /root/.paddlespeech/models/conformer_online_wenetspeech-zh-16k/asr1_chunk_conformer_wenetspeech_ckpt_1.0.0a.model.tar/model.yaml
[2022-05-14 04:56:17,543] [ INFO] - /root/.paddlespeech/models/conformer_online_wenetspeech-zh-16k/asr1_chunk_conformer_wenetspeech_ckpt_1.0.0a.model.tar/exp/ chunk_conformer/checkpoints/avg_10.pdparams
[2022-05-14 04:56:17,543] [ INFO] - /root/.paddlespeech/models/conformer_online_wenetspeech-zh-16k/asr1_chunk_conformer_wenetspeech_ckpt_1.0.0a.model.tar/exp/ chunk_conformer/checkpoints/avg_10.pdparams
[2022-05-14 04:56:17,852] [ INFO] - start to create the stream conformer asr engine
[2022-05-14 04:56:17,863] [ INFO] - model name: conformer_online
[2022-05-14 04:56:22,756] [ INFO] - create the transformer like model success
[2022-05-14 04:56:22,758] [ INFO] - Initialize ASR server engine successfully.
INFO: Started server process [4242]
[2022-05-14 04:56:22] [INFO] [server.py:75] Started server process [4242]
INFO: Waiting for application startup.
[2022-05-14 04:56:22] [INFO] [on.py:45] Waiting for application startup.
INFO: Application startup complete.
[2022-05-14 04:56:22] [INFO] [on.py:59] Application startup complete.
INFO: Uvicorn running on http://0.0.0.0:8090 (Press CTRL+C to quit)
[2022-05-14 04:56:22] [INFO] [server.py:211] Uvicorn running on http://0.0.0.0:8090 (Press CTRL+C to quit)
```text
[2022-05-14 04:56:13,086] [ INFO] - create the online asr engine instance
[2022-05-14 04:56:13,086] [ INFO] - paddlespeech_server set the device: cpu
[2022-05-14 04:56:13,087] [ INFO] - Load the pretrained model, tag = conformer_online_wenetspeech-zh-16k
[2022-05-14 04:56:13,087] [ INFO] - File /root/.paddlespeech/models/conformer_online_wenetspeech-zh-16k/asr1_chunk_conformer_wenetspeech_ckpt_1.0.0a.model.tar.gz md5 checking...
[2022-05-14 04:56:17,542] [ INFO] - Use pretrained model stored in: /root/.paddlespeech/models/conformer_online_wenetspeech-zh-16k/asr1_chunk_conformer_wenetspeech_ckpt_1. 0.0a.model.tar
[2022-05-14 04:56:17,543] [ INFO] - /root/.paddlespeech/models/conformer_online_wenetspeech-zh-16k/asr1_chunk_conformer_wenetspeech_ckpt_1.0.0a.model.tar
[2022-05-14 04:56:17,543] [ INFO] - /root/.paddlespeech/models/conformer_online_wenetspeech-zh-16k/asr1_chunk_conformer_wenetspeech_ckpt_1.0.0a.model.tar/model.yaml
[2022-05-14 04:56:17,543] [ INFO] - /root/.paddlespeech/models/conformer_online_wenetspeech-zh-16k/asr1_chunk_conformer_wenetspeech_ckpt_1.0.0a.model.tar/exp/ chunk_conformer/checkpoints/avg_10.pdparams
[2022-05-14 04:56:17,543] [ INFO] - /root/.paddlespeech/models/conformer_online_wenetspeech-zh-16k/asr1_chunk_conformer_wenetspeech_ckpt_1.0.0a.model.tar/exp/ chunk_conformer/checkpoints/avg_10.pdparams
[2022-05-14 04:56:17,852] [ INFO] - start to create the stream conformer asr engine
[2022-05-14 04:56:17,863] [ INFO] - model name: conformer_online
[2022-05-14 04:56:22,756] [ INFO] - create the transformer like model success
[2022-05-14 04:56:22,758] [ INFO] - Initialize ASR server engine successfully.
INFO: Started server process [4242]
[2022-05-14 04:56:22] [INFO] [server.py:75] Started server process [4242]
INFO: Waiting for application startup.
[2022-05-14 04:56:22] [INFO] [on.py:45] Waiting for application startup.
INFO: Application startup complete.
[2022-05-14 04:56:22] [INFO] [on.py:59] Application startup complete.
INFO: Uvicorn running on http://0.0.0.0:8090 (Press CTRL+C to quit)
[2022-05-14 04:56:22] [INFO] [server.py:211] Uvicorn running on http://0.0.0.0:8090 (Press CTRL+C to quit)
```
- Python API
@ -90,28 +90,28 @@ wget -c https://paddlespeech.bj.bcebos.com/PaddleAudio/zh.wav
```
Output:
```bash
[2022-05-14 04:56:13,086] [ INFO] - create the online asr engine instance
[2022-05-14 04:56:13,086] [ INFO] - paddlespeech_server set the device: cpu
[2022-05-14 04:56:13,087] [ INFO] - Load the pretrained model, tag = conformer_online_wenetspeech-zh-16k
[2022-05-14 04:56:13,087] [ INFO] - File /root/.paddlespeech/models/conformer_online_wenetspeech-zh-16k/asr1_chunk_conformer_wenetspeech_ckpt_1.0.0a.model.tar.gz md5 checking...
[2022-05-14 04:56:17,542] [ INFO] - Use pretrained model stored in: /root/.paddlespeech/models/conformer_online_wenetspeech-zh-16k/asr1_chunk_conformer_wenetspeech_ckpt_1. 0.0a.model.tar
[2022-05-14 04:56:17,543] [ INFO] - /root/.paddlespeech/models/conformer_online_wenetspeech-zh-16k/asr1_chunk_conformer_wenetspeech_ckpt_1.0.0a.model.tar
[2022-05-14 04:56:17,543] [ INFO] - /root/.paddlespeech/models/conformer_online_wenetspeech-zh-16k/asr1_chunk_conformer_wenetspeech_ckpt_1.0.0a.model.tar/model.yaml
[2022-05-14 04:56:17,543] [ INFO] - /root/.paddlespeech/models/conformer_online_wenetspeech-zh-16k/asr1_chunk_conformer_wenetspeech_ckpt_1.0.0a.model.tar/exp/ chunk_conformer/checkpoints/avg_10.pdparams
[2022-05-14 04:56:17,543] [ INFO] - /root/.paddlespeech/models/conformer_online_wenetspeech-zh-16k/asr1_chunk_conformer_wenetspeech_ckpt_1.0.0a.model.tar/exp/ chunk_conformer/checkpoints/avg_10.pdparams
[2022-05-14 04:56:17,852] [ INFO] - start to create the stream conformer asr engine
[2022-05-14 04:56:17,863] [ INFO] - model name: conformer_online
[2022-05-14 04:56:22,756] [ INFO] - create the transformer like model success
[2022-05-14 04:56:22,758] [ INFO] - Initialize ASR server engine successfully.
INFO: Started server process [4242]
[2022-05-14 04:56:22] [INFO] [server.py:75] Started server process [4242]
INFO: Waiting for application startup.
[2022-05-14 04:56:22] [INFO] [on.py:45] Waiting for application startup.
INFO: Application startup complete.
[2022-05-14 04:56:22] [INFO] [on.py:59] Application startup complete.
INFO: Uvicorn running on http://0.0.0.0:8090 (Press CTRL+C to quit)
[2022-05-14 04:56:22] [INFO] [server.py:211] Uvicorn running on http://0.0.0.0:8090 (Press CTRL+C to quit)
```text
[2022-05-14 04:56:13,086] [ INFO] - create the online asr engine instance
[2022-05-14 04:56:13,086] [ INFO] - paddlespeech_server set the device: cpu
[2022-05-14 04:56:13,087] [ INFO] - Load the pretrained model, tag = conformer_online_wenetspeech-zh-16k
[2022-05-14 04:56:13,087] [ INFO] - File /root/.paddlespeech/models/conformer_online_wenetspeech-zh-16k/asr1_chunk_conformer_wenetspeech_ckpt_1.0.0a.model.tar.gz md5 checking...
[2022-05-14 04:56:17,542] [ INFO] - Use pretrained model stored in: /root/.paddlespeech/models/conformer_online_wenetspeech-zh-16k/asr1_chunk_conformer_wenetspeech_ckpt_1. 0.0a.model.tar
[2022-05-14 04:56:17,543] [ INFO] - /root/.paddlespeech/models/conformer_online_wenetspeech-zh-16k/asr1_chunk_conformer_wenetspeech_ckpt_1.0.0a.model.tar
[2022-05-14 04:56:17,543] [ INFO] - /root/.paddlespeech/models/conformer_online_wenetspeech-zh-16k/asr1_chunk_conformer_wenetspeech_ckpt_1.0.0a.model.tar/model.yaml
[2022-05-14 04:56:17,543] [ INFO] - /root/.paddlespeech/models/conformer_online_wenetspeech-zh-16k/asr1_chunk_conformer_wenetspeech_ckpt_1.0.0a.model.tar/exp/ chunk_conformer/checkpoints/avg_10.pdparams
[2022-05-14 04:56:17,543] [ INFO] - /root/.paddlespeech/models/conformer_online_wenetspeech-zh-16k/asr1_chunk_conformer_wenetspeech_ckpt_1.0.0a.model.tar/exp/ chunk_conformer/checkpoints/avg_10.pdparams
[2022-05-14 04:56:17,852] [ INFO] - start to create the stream conformer asr engine
[2022-05-14 04:56:17,863] [ INFO] - model name: conformer_online
[2022-05-14 04:56:22,756] [ INFO] - create the transformer like model success
[2022-05-14 04:56:22,758] [ INFO] - Initialize ASR server engine successfully.
INFO: Started server process [4242]
[2022-05-14 04:56:22] [INFO] [server.py:75] Started server process [4242]
INFO: Waiting for application startup.
[2022-05-14 04:56:22] [INFO] [on.py:45] Waiting for application startup.
INFO: Application startup complete.
[2022-05-14 04:56:22] [INFO] [on.py:59] Application startup complete.
INFO: Uvicorn running on http://0.0.0.0:8090 (Press CTRL+C to quit)
[2022-05-14 04:56:22] [INFO] [server.py:211] Uvicorn running on http://0.0.0.0:8090 (Press CTRL+C to quit)
```
@ -122,7 +122,7 @@ wget -c https://paddlespeech.bj.bcebos.com/PaddleAudio/zh.wav
If `127.0.0.1` is not accessible, you need to use the actual service IP address.
```
```bash
paddlespeech_client asr_online --server_ip 127.0.0.1 --port 8090 --input ./zh.wav
```
@ -131,6 +131,7 @@ wget -c https://paddlespeech.bj.bcebos.com/PaddleAudio/zh.wav
```bash
paddlespeech_client asr_online --help
```
Arguments:
- `server_ip`: server ip. Default: 127.0.0.1
- `port`: server port. Default: 8090
@ -142,75 +143,74 @@ wget -c https://paddlespeech.bj.bcebos.com/PaddleAudio/zh.wav
- `punc.server_port`: punctuation server port. Default: None.
Output:
```bash
[2022-05-06 21:10:35,598] [ INFO] - Start to do streaming asr client
[2022-05-06 21:10:35,600] [ INFO] - asr websocket client start
[2022-05-06 21:10:35,600] [ INFO] - endpoint: ws://127.0.0.1:8390/paddlespeech/asr/streaming
[2022-05-06 21:10:35,600] [ INFO] - start to process the wavscp: ./zh.wav
[2022-05-06 21:10:35,670] [ INFO] - client receive msg={"status": "ok", "signal": "server_ready"}
[2022-05-06 21:10:35,699] [ INFO] - client receive msg={'result': ''}
[2022-05-06 21:10:35,713] [ INFO] - client receive msg={'result': ''}
[2022-05-06 21:10:35,726] [ INFO] - client receive msg={'result': ''}
[2022-05-06 21:10:35,738] [ INFO] - client receive msg={'result': ''}
[2022-05-06 21:10:35,750] [ INFO] - client receive msg={'result': ''}
[2022-05-06 21:10:35,762] [ INFO] - client receive msg={'result': ''}
[2022-05-06 21:10:35,774] [ INFO] - client receive msg={'result': ''}
[2022-05-06 21:10:35,786] [ INFO] - client receive msg={'result': ''}
[2022-05-06 21:10:36,387] [ INFO] - client receive msg={'result': ''}
[2022-05-06 21:10:36,398] [ INFO] - client receive msg={'result': ''}
[2022-05-06 21:10:36,407] [ INFO] - client receive msg={'result': ''}
[2022-05-06 21:10:36,416] [ INFO] - client receive msg={'result': ''}
[2022-05-06 21:10:36,425] [ INFO] - client receive msg={'result': ''}
[2022-05-06 21:10:36,434] [ INFO] - client receive msg={'result': ''}
[2022-05-06 21:10:36,442] [ INFO] - client receive msg={'result': ''}
[2022-05-06 21:10:36,930] [ INFO] - client receive msg={'result': '我认为跑'}
[2022-05-06 21:10:36,938] [ INFO] - client receive msg={'result': '我认为跑'}
[2022-05-06 21:10:36,946] [ INFO] - client receive msg={'result': '我认为跑'}
[2022-05-06 21:10:36,954] [ INFO] - client receive msg={'result': '我认为跑'}
[2022-05-06 21:10:36,962] [ INFO] - client receive msg={'result': '我认为跑'}
[2022-05-06 21:10:36,970] [ INFO] - client receive msg={'result': '我认为跑'}
[2022-05-06 21:10:36,977] [ INFO] - client receive msg={'result': '我认为跑'}
[2022-05-06 21:10:36,985] [ INFO] - client receive msg={'result': '我认为跑'}
[2022-05-06 21:10:37,484] [ INFO] - client receive msg={'result': '我认为跑步最重要的'}
[2022-05-06 21:10:37,492] [ INFO] - client receive msg={'result': '我认为跑步最重要的'}
[2022-05-06 21:10:37,500] [ INFO] - client receive msg={'result': '我认为跑步最重要的'}
[2022-05-06 21:10:37,508] [ INFO] - client receive msg={'result': '我认为跑步最重要的'}
[2022-05-06 21:10:37,517] [ INFO] - client receive msg={'result': '我认为跑步最重要的'}
[2022-05-06 21:10:37,525] [ INFO] - client receive msg={'result': '我认为跑步最重要的'}
[2022-05-06 21:10:37,532] [ INFO] - client receive msg={'result': '我认为跑步最重要的'}
[2022-05-06 21:10:38,050] [ INFO] - client receive msg={'result': '我认为跑步最重要的就是'}
[2022-05-06 21:10:38,058] [ INFO] - client receive msg={'result': '我认为跑步最重要的就是'}
[2022-05-06 21:10:38,066] [ INFO] - client receive msg={'result': '我认为跑步最重要的就是'}
[2022-05-06 21:10:38,073] [ INFO] - client receive msg={'result': '我认为跑步最重要的就是'}
[2022-05-06 21:10:38,081] [ INFO] - client receive msg={'result': '我认为跑步最重要的就是'}
[2022-05-06 21:10:38,089] [ INFO] - client receive msg={'result': '我认为跑步最重要的就是'}
[2022-05-06 21:10:38,097] [ INFO] - client receive msg={'result': '我认为跑步最重要的就是'}
[2022-05-06 21:10:38,105] [ INFO] - client receive msg={'result': '我认为跑步最重要的就是'}
[2022-05-06 21:10:38,630] [ INFO] - client receive msg={'result': '我认为跑步最重要的就是给'}
[2022-05-06 21:10:38,639] [ INFO] - client receive msg={'result': '我认为跑步最重要的就是给'}
[2022-05-06 21:10:38,647] [ INFO] - client receive msg={'result': '我认为跑步最重要的就是给'}
[2022-05-06 21:10:38,655] [ INFO] - client receive msg={'result': '我认为跑步最重要的就是给'}
[2022-05-06 21:10:38,663] [ INFO] - client receive msg={'result': '我认为跑步最重要的就是给'}
[2022-05-06 21:10:38,671] [ INFO] - client receive msg={'result': '我认为跑步最重要的就是给'}
[2022-05-06 21:10:38,679] [ INFO] - client receive msg={'result': '我认为跑步最重要的就是给'}
[2022-05-06 21:10:39,216] [ INFO] - client receive msg={'result': '我认为跑步最重要的就是给我带来了'}
[2022-05-06 21:10:39,224] [ INFO] - client receive msg={'result': '我认为跑步最重要的就是给我带来了'}
[2022-05-06 21:10:39,232] [ INFO] - client receive msg={'result': '我认为跑步最重要的就是给我带来了'}
[2022-05-06 21:10:39,240] [ INFO] - client receive msg={'result': '我认为跑步最重要的就是给我带来了'}
[2022-05-06 21:10:39,248] [ INFO] - client receive msg={'result': '我认为跑步最重要的就是给我带来了'}
[2022-05-06 21:10:39,256] [ INFO] - client receive msg={'result': '我认为跑步最重要的就是给我带来了'}
[2022-05-06 21:10:39,264] [ INFO] - client receive msg={'result': '我认为跑步最重要的就是给我带来了'}
[2022-05-06 21:10:39,272] [ INFO] - client receive msg={'result': '我认为跑步最重要的就是给我带来了'}
[2022-05-06 21:10:39,885] [ INFO] - client receive msg={'result': '我认为跑步最重要的就是给我带来了身体健康'}
[2022-05-06 21:10:39,896] [ INFO] - client receive msg={'result': '我认为跑步最重要的就是给我带来了身体健康'}
[2022-05-06 21:10:39,905] [ INFO] - client receive msg={'result': '我认为跑步最重要的就是给我带来了身体健康'}
[2022-05-06 21:10:39,915] [ INFO] - client receive msg={'result': '我认为跑步最重要的就是给我带来了身体健康'}
[2022-05-06 21:10:39,924] [ INFO] - client receive msg={'result': '我认为跑步最重要的就是给我带来了身体健康'}
[2022-05-06 21:10:39,934] [ INFO] - client receive msg={'result': '我认为跑步最重要的就是给我带来了身体健康'}
[2022-05-06 21:10:44,827] [ INFO] - client final receive msg={'status': 'ok', 'signal': 'finished', 'result': '我认为跑步最重要的就是给我带来了身体健康', 'times': [{'w': '我', 'bg': 0.0, 'ed': 0.7000000000000001}, {'w': '认', 'bg': 0.7000000000000001, 'ed': 0.84}, {'w': '为', 'bg': 0.84, 'ed': 1.0}, {'w': '跑', 'bg': 1.0, 'ed': 1.18}, {'w': '步', 'bg': 1.18, 'ed': 1.36}, {'w': '最', 'bg': 1.36, 'ed': 1.5}, {'w': '重', 'bg': 1.5, 'ed': 1.6400000000000001}, {'w': '要', 'bg': 1.6400000000000001, 'ed': 1.78}, {'w': '的', 'bg': 1.78, 'ed': 1.9000000000000001}, {'w': '就', 'bg': 1.9000000000000001, 'ed': 2.06}, {'w': '是', 'bg': 2.06, 'ed': 2.62}, {'w': '给', 'bg': 2.62, 'ed': 3.16}, {'w': '我', 'bg': 3.16, 'ed': 3.3200000000000003}, {'w': '带', 'bg': 3.3200000000000003, 'ed': 3.48}, {'w': '来', 'bg': 3.48, 'ed': 3.62}, {'w': '了', 'bg': 3.62, 'ed': 3.7600000000000002}, {'w': '身', 'bg': 3.7600000000000002, 'ed': 3.9}, {'w': '体', 'bg': 3.9, 'ed': 4.0600000000000005}, {'w': '健', 'bg': 4.0600000000000005, 'ed': 4.26}, {'w': '康', 'bg': 4.26, 'ed': 4.96}]}
[2022-05-06 21:10:44,827] [ INFO] - audio duration: 4.9968125, elapsed time: 9.225094079971313, RTF=1.846195765794957
[2022-05-06 21:10:44,828] [ INFO] - asr websocket client finished : 我认为跑步最重要的就是给我带来了身体健康
```text
[2022-05-06 21:10:35,598] [ INFO] - Start to do streaming asr client
[2022-05-06 21:10:35,600] [ INFO] - asr websocket client start
[2022-05-06 21:10:35,600] [ INFO] - endpoint: ws://127.0.0.1:8390/paddlespeech/asr/streaming
[2022-05-06 21:10:35,600] [ INFO] - start to process the wavscp: ./zh.wav
[2022-05-06 21:10:35,670] [ INFO] - client receive msg={"status": "ok", "signal": "server_ready"}
[2022-05-06 21:10:35,699] [ INFO] - client receive msg={'result': ''}
[2022-05-06 21:10:35,713] [ INFO] - client receive msg={'result': ''}
[2022-05-06 21:10:35,726] [ INFO] - client receive msg={'result': ''}
[2022-05-06 21:10:35,738] [ INFO] - client receive msg={'result': ''}
[2022-05-06 21:10:35,750] [ INFO] - client receive msg={'result': ''}
[2022-05-06 21:10:35,762] [ INFO] - client receive msg={'result': ''}
[2022-05-06 21:10:35,774] [ INFO] - client receive msg={'result': ''}
[2022-05-06 21:10:35,786] [ INFO] - client receive msg={'result': ''}
[2022-05-06 21:10:36,387] [ INFO] - client receive msg={'result': ''}
[2022-05-06 21:10:36,398] [ INFO] - client receive msg={'result': ''}
[2022-05-06 21:10:36,407] [ INFO] - client receive msg={'result': ''}
[2022-05-06 21:10:36,416] [ INFO] - client receive msg={'result': ''}
[2022-05-06 21:10:36,425] [ INFO] - client receive msg={'result': ''}
[2022-05-06 21:10:36,434] [ INFO] - client receive msg={'result': ''}
[2022-05-06 21:10:36,442] [ INFO] - client receive msg={'result': ''}
[2022-05-06 21:10:36,930] [ INFO] - client receive msg={'result': '我认为跑'}
[2022-05-06 21:10:36,938] [ INFO] - client receive msg={'result': '我认为跑'}
[2022-05-06 21:10:36,946] [ INFO] - client receive msg={'result': '我认为跑'}
[2022-05-06 21:10:36,954] [ INFO] - client receive msg={'result': '我认为跑'}
[2022-05-06 21:10:36,962] [ INFO] - client receive msg={'result': '我认为跑'}
[2022-05-06 21:10:36,970] [ INFO] - client receive msg={'result': '我认为跑'}
[2022-05-06 21:10:36,977] [ INFO] - client receive msg={'result': '我认为跑'}
[2022-05-06 21:10:36,985] [ INFO] - client receive msg={'result': '我认为跑'}
[2022-05-06 21:10:37,484] [ INFO] - client receive msg={'result': '我认为跑步最重要的'}
[2022-05-06 21:10:37,492] [ INFO] - client receive msg={'result': '我认为跑步最重要的'}
[2022-05-06 21:10:37,500] [ INFO] - client receive msg={'result': '我认为跑步最重要的'}
[2022-05-06 21:10:37,508] [ INFO] - client receive msg={'result': '我认为跑步最重要的'}
[2022-05-06 21:10:37,517] [ INFO] - client receive msg={'result': '我认为跑步最重要的'}
[2022-05-06 21:10:37,525] [ INFO] - client receive msg={'result': '我认为跑步最重要的'}
[2022-05-06 21:10:37,532] [ INFO] - client receive msg={'result': '我认为跑步最重要的'}
[2022-05-06 21:10:38,050] [ INFO] - client receive msg={'result': '我认为跑步最重要的就是'}
[2022-05-06 21:10:38,058] [ INFO] - client receive msg={'result': '我认为跑步最重要的就是'}
[2022-05-06 21:10:38,066] [ INFO] - client receive msg={'result': '我认为跑步最重要的就是'}
[2022-05-06 21:10:38,073] [ INFO] - client receive msg={'result': '我认为跑步最重要的就是'}
[2022-05-06 21:10:38,081] [ INFO] - client receive msg={'result': '我认为跑步最重要的就是'}
[2022-05-06 21:10:38,089] [ INFO] - client receive msg={'result': '我认为跑步最重要的就是'}
[2022-05-06 21:10:38,097] [ INFO] - client receive msg={'result': '我认为跑步最重要的就是'}
[2022-05-06 21:10:38,105] [ INFO] - client receive msg={'result': '我认为跑步最重要的就是'}
[2022-05-06 21:10:38,630] [ INFO] - client receive msg={'result': '我认为跑步最重要的就是给'}
[2022-05-06 21:10:38,639] [ INFO] - client receive msg={'result': '我认为跑步最重要的就是给'}
[2022-05-06 21:10:38,647] [ INFO] - client receive msg={'result': '我认为跑步最重要的就是给'}
[2022-05-06 21:10:38,655] [ INFO] - client receive msg={'result': '我认为跑步最重要的就是给'}
[2022-05-06 21:10:38,663] [ INFO] - client receive msg={'result': '我认为跑步最重要的就是给'}
[2022-05-06 21:10:38,671] [ INFO] - client receive msg={'result': '我认为跑步最重要的就是给'}
[2022-05-06 21:10:38,679] [ INFO] - client receive msg={'result': '我认为跑步最重要的就是给'}
[2022-05-06 21:10:39,216] [ INFO] - client receive msg={'result': '我认为跑步最重要的就是给我带来了'}
[2022-05-06 21:10:39,224] [ INFO] - client receive msg={'result': '我认为跑步最重要的就是给我带来了'}
[2022-05-06 21:10:39,232] [ INFO] - client receive msg={'result': '我认为跑步最重要的就是给我带来了'}
[2022-05-06 21:10:39,240] [ INFO] - client receive msg={'result': '我认为跑步最重要的就是给我带来了'}
[2022-05-06 21:10:39,248] [ INFO] - client receive msg={'result': '我认为跑步最重要的就是给我带来了'}
[2022-05-06 21:10:39,256] [ INFO] - client receive msg={'result': '我认为跑步最重要的就是给我带来了'}
[2022-05-06 21:10:39,264] [ INFO] - client receive msg={'result': '我认为跑步最重要的就是给我带来了'}
[2022-05-06 21:10:39,272] [ INFO] - client receive msg={'result': '我认为跑步最重要的就是给我带来了'}
[2022-05-06 21:10:39,885] [ INFO] - client receive msg={'result': '我认为跑步最重要的就是给我带来了身体健康'}
[2022-05-06 21:10:39,896] [ INFO] - client receive msg={'result': '我认为跑步最重要的就是给我带来了身体健康'}
[2022-05-06 21:10:39,905] [ INFO] - client receive msg={'result': '我认为跑步最重要的就是给我带来了身体健康'}
[2022-05-06 21:10:39,915] [ INFO] - client receive msg={'result': '我认为跑步最重要的就是给我带来了身体健康'}
[2022-05-06 21:10:39,924] [ INFO] - client receive msg={'result': '我认为跑步最重要的就是给我带来了身体健康'}
[2022-05-06 21:10:39,934] [ INFO] - client receive msg={'result': '我认为跑步最重要的就是给我带来了身体健康'}
[2022-05-06 21:10:44,827] [ INFO] - client final receive msg={'status': 'ok', 'signal': 'finished', 'result': '我认为跑步最重要的就是给我带来了身体健康', 'times': [{'w': '我', 'bg': 0.0, 'ed': 0.7000000000000001}, {'w': '认', 'bg': 0.7000000000000001, 'ed': 0.84}, {'w': '为', 'bg': 0.84, 'ed': 1.0}, {'w': '跑', 'bg': 1.0, 'ed': 1.18}, {'w': '步', 'bg': 1.18, 'ed': 1.36}, {'w': '最', 'bg': 1.36, 'ed': 1.5}, {'w': '重', 'bg': 1.5, 'ed': 1.6400000000000001}, {'w': '要', 'bg': 1.6400000000000001, 'ed': 1.78}, {'w': '的', 'bg': 1.78, 'ed': 1.9000000000000001}, {'w': '就', 'bg': 1.9000000000000001, 'ed': 2.06}, {'w': '是', 'bg': 2.06, 'ed': 2.62}, {'w': '给', 'bg': 2.62, 'ed': 3.16}, {'w': '我', 'bg': 3.16, 'ed': 3.3200000000000003}, {'w': '带', 'bg': 3.3200000000000003, 'ed': 3.48}, {'w': '来', 'bg': 3.48, 'ed': 3.62}, {'w': '了', 'bg': 3.62, 'ed': 3.7600000000000002}, {'w': '身', 'bg': 3.7600000000000002, 'ed': 3.9}, {'w': '体', 'bg': 3.9, 'ed': 4.0600000000000005}, {'w': '健', 'bg': 4.0600000000000005, 'ed': 4.26}, {'w': '康', 'bg': 4.26, 'ed': 4.96}]}
[2022-05-06 21:10:44,827] [ INFO] - audio duration: 4.9968125, elapsed time: 9.225094079971313, RTF=1.846195765794957
[2022-05-06 21:10:44,828] [ INFO] - asr websocket client finished : 我认为跑步最重要的就是给我带来了身体健康
```
- Python API
@ -229,7 +229,7 @@ wget -c https://paddlespeech.bj.bcebos.com/PaddleAudio/zh.wav
```
Output:
```bash
```text
[2022-05-06 21:14:03,137] [ INFO] - asr websocket client start
[2022-05-06 21:14:03,137] [ INFO] - endpoint: ws://127.0.0.1:8390/paddlespeech/asr/streaming
[2022-05-06 21:14:03,149] [ INFO] - client receive msg={"status": "ok", "signal": "server_ready"}
@ -304,12 +304,11 @@ wget -c https://paddlespeech.bj.bcebos.com/PaddleAudio/zh.wav
- Command Line
**Note:** The default deployment of the server is on the 'CPU' device, which can be deployed on the 'GPU' by modifying the 'device' parameter in the service configuration file.
``` bash
```bash
In PaddleSpeech/demos/streaming_asr_server directory to lanuch punctuation service
paddlespeech_server start --config_file conf/punc_application.yaml
```
Usage:
```bash
paddlespeech_server start --help
@ -321,7 +320,7 @@ wget -c https://paddlespeech.bj.bcebos.com/PaddleAudio/zh.wav
Output:
``` bash
```text
[2022-05-02 17:59:26,285] [ INFO] - Create the TextEngine Instance
[2022-05-02 17:59:26,285] [ INFO] - Init the text engine
[2022-05-02 17:59:26,285] [ INFO] - Text Engine set the device: gpu:0
@ -353,26 +352,26 @@ wget -c https://paddlespeech.bj.bcebos.com/PaddleAudio/zh.wav
log_file="./log/paddlespeech.log")
```
Output:
```
[2022-05-02 18:09:02,542] [ INFO] - Create the TextEngine Instance
[2022-05-02 18:09:02,543] [ INFO] - Init the text engine
[2022-05-02 18:09:02,543] [ INFO] - Text Engine set the device: gpu:0
[2022-05-02 18:09:02,545] [ INFO] - File /home/users/xiongxinlei/.paddlespeech/models/ernie_linear_p3_wudao-punc-zh/ernie_linear_p3_wudao-punc-zh.tar.gz md5 checking...
[2022-05-02 18:09:06,919] [ INFO] - Use pretrained model stored in: /home/users/xiongxinlei/.paddlespeech/models/ernie_linear_p3_wudao-punc-zh/ernie_linear_p3_wudao-punc-zh.tar
W0502 18:09:07.523002 22615 device_context.cc:447] Please NOTE: device: 0, GPU Compute Capability: 6.1, Driver API Version: 10.2, Runtime API Version: 10.2
W0502 18:09:07.527882 22615 device_context.cc:465] device: 0, cuDNN Version: 7.6.
[2022-05-02 18:09:10,900] [ INFO] - Already cached /home/users/xiongxinlei/.paddlenlp/models/ernie-1.0/vocab.txt
[2022-05-02 18:09:10,913] [ INFO] - Init the text engine successfully
INFO: Started server process [22615]
[2022-05-02 18:09:10] [INFO] [server.py:75] Started server process [22615]
INFO: Waiting for application startup.
[2022-05-02 18:09:10] [INFO] [on.py:45] Waiting for application startup.
INFO: Application startup complete.
[2022-05-02 18:09:10] [INFO] [on.py:59] Application startup complete.
INFO: Uvicorn running on http://0.0.0.0:8190 (Press CTRL+C to quit)
[2022-05-02 18:09:10] [INFO] [server.py:206] Uvicorn running on http://0.0.0.0:8190 (Press CTRL+C to quit)
```
Output:
```text
[2022-05-02 18:09:02,542] [ INFO] - Create the TextEngine Instance
[2022-05-02 18:09:02,543] [ INFO] - Init the text engine
[2022-05-02 18:09:02,543] [ INFO] - Text Engine set the device: gpu:0
[2022-05-02 18:09:02,545] [ INFO] - File /home/users/xiongxinlei/.paddlespeech/models/ernie_linear_p3_wudao-punc-zh/ernie_linear_p3_wudao-punc-zh.tar.gz md5 checking...
[2022-05-02 18:09:06,919] [ INFO] - Use pretrained model stored in: /home/users/xiongxinlei/.paddlespeech/models/ernie_linear_p3_wudao-punc-zh/ernie_linear_p3_wudao-punc-zh.tar
W0502 18:09:07.523002 22615 device_context.cc:447] Please NOTE: device: 0, GPU Compute Capability: 6.1, Driver API Version: 10.2, Runtime API Version: 10.2
W0502 18:09:07.527882 22615 device_context.cc:465] device: 0, cuDNN Version: 7.6.
[2022-05-02 18:09:10,900] [ INFO] - Already cached /home/users/xiongxinlei/.paddlenlp/models/ernie-1.0/vocab.txt
[2022-05-02 18:09:10,913] [ INFO] - Init the text engine successfully
INFO: Started server process [22615]
[2022-05-02 18:09:10] [INFO] [server.py:75] Started server process [22615]
INFO: Waiting for application startup.
[2022-05-02 18:09:10] [INFO] [on.py:45] Waiting for application startup.
INFO: Application startup complete.
[2022-05-02 18:09:10] [INFO] [on.py:59] Application startup complete.
INFO: Uvicorn running on http://0.0.0.0:8190 (Press CTRL+C to quit)
[2022-05-02 18:09:10] [INFO] [server.py:206] Uvicorn running on http://0.0.0.0:8190 (Press CTRL+C to quit)
```
### 2. Client usage
**Note** The response time will be slightly longer when using the client for the first time
@ -381,17 +380,17 @@ wget -c https://paddlespeech.bj.bcebos.com/PaddleAudio/zh.wav
If `127.0.0.1` is not accessible, you need to use the actual service IP address.
```
```bash
paddlespeech_client text --server_ip 127.0.0.1 --port 8190 --input "我认为跑步最重要的就是给我带来了身体健康"
```
Output
```
```text
[2022-05-02 18:12:29,767] [ INFO] - The punc text: 我认为跑步最重要的就是给我带来了身体健康。
[2022-05-02 18:12:29,767] [ INFO] - Response time 0.096548 s.
```
- Python3 API
- Python API
```python
from paddlespeech.server.bin.paddlespeech_client import TextClientExecutor
@ -405,11 +404,10 @@ wget -c https://paddlespeech.bj.bcebos.com/PaddleAudio/zh.wav
```
Output:
``` bash
```text
我认为跑步最重要的就是给我带来了身体健康。
```
## Join streaming asr and punctuation server
By default, each server is deployed on the 'CPU' device and speech recognition and punctuation prediction can be deployed on different 'GPU' by modifying the' device 'parameter in the service configuration file respectively.
@ -418,7 +416,7 @@ We use `streaming_ asr_server.py` and `punc_server.py` two services to lanuch st
### 1. Start two server
``` bash
```bash
Note: streaming speech recognition and punctuation prediction are configured on different graphics cards through configuration files
bash server.sh
```
@ -428,11 +426,11 @@ bash server.sh
If `127.0.0.1` is not accessible, you need to use the actual service IP address.
```
```bash
paddlespeech_client asr_online --server_ip 127.0.0.1 --port 8290 --punc.server_ip 127.0.0.1 --punc.port 8190 --input ./zh.wav
```
Output:
```
```text
[2022-05-07 11:21:47,060] [ INFO] - asr websocket client start
[2022-05-07 11:21:47,060] [ INFO] - endpoint: ws://127.0.0.1:8490/paddlespeech/asr/streaming
[2022-05-07 11:21:47,080] [ INFO] - client receive msg={"status": "ok", "signal": "server_ready"}
@ -506,11 +504,11 @@ bash server.sh
If `127.0.0.1` is not accessible, you need to use the actual service IP address.
```
```bash
python3 websocket_client.py --server_ip 127.0.0.1 --port 8290 --punc.server_ip 127.0.0.1 --punc.port 8190 --wavfile ./zh.wav
```
Output:
```
```text
[2022-05-07 11:11:02,984] [ INFO] - Start to do streaming asr client
[2022-05-07 11:11:02,985] [ INFO] - asr websocket client start
[2022-05-07 11:11:02,985] [ INFO] - endpoint: ws://127.0.0.1:8490/paddlespeech/asr/streaming
@ -579,5 +577,3 @@ bash server.sh
[2022-05-07 11:11:18,915] [ INFO] - audio duration: 4.9968125, elapsed time: 15.928460597991943, RTF=3.187724293835709
[2022-05-07 11:11:18,916] [ INFO] - asr websocket client finished : 我认为跑步最重要的就是给我带来了身体健康
```

359
demos/streaming_asr_server/README_cn.md
Unescape View File

@ -58,28 +58,28 @@ wget -c https://paddlespeech.bj.bcebos.com/PaddleAudio/zh.wav
- `log_file`: log 文件. 默认：`./log/paddlespeech.log`
输出:
```bash
[2022-05-14 04:56:13,086] [ INFO] - create the online asr engine instance
[2022-05-14 04:56:13,086] [ INFO] - paddlespeech_server set the device: cpu
[2022-05-14 04:56:13,087] [ INFO] - Load the pretrained model, tag = conformer_online_wenetspeech-zh-16k
[2022-05-14 04:56:13,087] [ INFO] - File /root/.paddlespeech/models/conformer_online_wenetspeech-zh-16k/asr1_chunk_conformer_wenetspeech_ckpt_1.0.0a.model.tar.gz md5 checking...
[2022-05-14 04:56:17,542] [ INFO] - Use pretrained model stored in: /root/.paddlespeech/models/conformer_online_wenetspeech-zh-16k/asr1_chunk_conformer_wenetspeech_ckpt_1. 0.0a.model.tar
[2022-05-14 04:56:17,543] [ INFO] - /root/.paddlespeech/models/conformer_online_wenetspeech-zh-16k/asr1_chunk_conformer_wenetspeech_ckpt_1.0.0a.model.tar
[2022-05-14 04:56:17,543] [ INFO] - /root/.paddlespeech/models/conformer_online_wenetspeech-zh-16k/asr1_chunk_conformer_wenetspeech_ckpt_1.0.0a.model.tar/model.yaml
[2022-05-14 04:56:17,543] [ INFO] - /root/.paddlespeech/models/conformer_online_wenetspeech-zh-16k/asr1_chunk_conformer_wenetspeech_ckpt_1.0.0a.model.tar/exp/ chunk_conformer/checkpoints/avg_10.pdparams
[2022-05-14 04:56:17,543] [ INFO] - /root/.paddlespeech/models/conformer_online_wenetspeech-zh-16k/asr1_chunk_conformer_wenetspeech_ckpt_1.0.0a.model.tar/exp/ chunk_conformer/checkpoints/avg_10.pdparams
[2022-05-14 04:56:17,852] [ INFO] - start to create the stream conformer asr engine
[2022-05-14 04:56:17,863] [ INFO] - model name: conformer_online
[2022-05-14 04:56:22,756] [ INFO] - create the transformer like model success
[2022-05-14 04:56:22,758] [ INFO] - Initialize ASR server engine successfully.
INFO: Started server process [4242]
[2022-05-14 04:56:22] [INFO] [server.py:75] Started server process [4242]
INFO: Waiting for application startup.
[2022-05-14 04:56:22] [INFO] [on.py:45] Waiting for application startup.
INFO: Application startup complete.
[2022-05-14 04:56:22] [INFO] [on.py:59] Application startup complete.
INFO: Uvicorn running on http://0.0.0.0:8090 (Press CTRL+C to quit)
[2022-05-14 04:56:22] [INFO] [server.py:211] Uvicorn running on http://0.0.0.0:8090 (Press CTRL+C to quit)
```text
[2022-05-14 04:56:13,086] [ INFO] - create the online asr engine instance
[2022-05-14 04:56:13,086] [ INFO] - paddlespeech_server set the device: cpu
[2022-05-14 04:56:13,087] [ INFO] - Load the pretrained model, tag = conformer_online_wenetspeech-zh-16k
[2022-05-14 04:56:13,087] [ INFO] - File /root/.paddlespeech/models/conformer_online_wenetspeech-zh-16k/asr1_chunk_conformer_wenetspeech_ckpt_1.0.0a.model.tar.gz md5 checking...
[2022-05-14 04:56:17,542] [ INFO] - Use pretrained model stored in: /root/.paddlespeech/models/conformer_online_wenetspeech-zh-16k/asr1_chunk_conformer_wenetspeech_ckpt_1. 0.0a.model.tar
[2022-05-14 04:56:17,543] [ INFO] - /root/.paddlespeech/models/conformer_online_wenetspeech-zh-16k/asr1_chunk_conformer_wenetspeech_ckpt_1.0.0a.model.tar
[2022-05-14 04:56:17,543] [ INFO] - /root/.paddlespeech/models/conformer_online_wenetspeech-zh-16k/asr1_chunk_conformer_wenetspeech_ckpt_1.0.0a.model.tar/model.yaml
[2022-05-14 04:56:17,543] [ INFO] - /root/.paddlespeech/models/conformer_online_wenetspeech-zh-16k/asr1_chunk_conformer_wenetspeech_ckpt_1.0.0a.model.tar/exp/ chunk_conformer/checkpoints/avg_10.pdparams
[2022-05-14 04:56:17,543] [ INFO] - /root/.paddlespeech/models/conformer_online_wenetspeech-zh-16k/asr1_chunk_conformer_wenetspeech_ckpt_1.0.0a.model.tar/exp/ chunk_conformer/checkpoints/avg_10.pdparams
[2022-05-14 04:56:17,852] [ INFO] - start to create the stream conformer asr engine
[2022-05-14 04:56:17,863] [ INFO] - model name: conformer_online
[2022-05-14 04:56:22,756] [ INFO] - create the transformer like model success
[2022-05-14 04:56:22,758] [ INFO] - Initialize ASR server engine successfully.
INFO: Started server process [4242]
[2022-05-14 04:56:22] [INFO] [server.py:75] Started server process [4242]
INFO: Waiting for application startup.
[2022-05-14 04:56:22] [INFO] [on.py:45] Waiting for application startup.
INFO: Application startup complete.
[2022-05-14 04:56:22] [INFO] [on.py:59] Application startup complete.
INFO: Uvicorn running on http://0.0.0.0:8090 (Press CTRL+C to quit)
[2022-05-14 04:56:22] [INFO] [server.py:211] Uvicorn running on http://0.0.0.0:8090 (Press CTRL+C to quit)
```
- Python API
@ -94,29 +94,29 @@ wget -c https://paddlespeech.bj.bcebos.com/PaddleAudio/zh.wav
log_file="./log/paddlespeech.log")
```
输出：
```bash
[2022-05-14 04:56:13,086] [ INFO] - create the online asr engine instance
[2022-05-14 04:56:13,086] [ INFO] - paddlespeech_server set the device: cpu
[2022-05-14 04:56:13,087] [ INFO] - Load the pretrained model, tag = conformer_online_wenetspeech-zh-16k
[2022-05-14 04:56:13,087] [ INFO] - File /root/.paddlespeech/models/conformer_online_wenetspeech-zh-16k/asr1_chunk_conformer_wenetspeech_ckpt_1.0.0a.model.tar.gz md5 checking...
[2022-05-14 04:56:17,542] [ INFO] - Use pretrained model stored in: /root/.paddlespeech/models/conformer_online_wenetspeech-zh-16k/asr1_chunk_conformer_wenetspeech_ckpt_1. 0.0a.model.tar
[2022-05-14 04:56:17,543] [ INFO] - /root/.paddlespeech/models/conformer_online_wenetspeech-zh-16k/asr1_chunk_conformer_wenetspeech_ckpt_1.0.0a.model.tar
[2022-05-14 04:56:17,543] [ INFO] - /root/.paddlespeech/models/conformer_online_wenetspeech-zh-16k/asr1_chunk_conformer_wenetspeech_ckpt_1.0.0a.model.tar/model.yaml
[2022-05-14 04:56:17,543] [ INFO] - /root/.paddlespeech/models/conformer_online_wenetspeech-zh-16k/asr1_chunk_conformer_wenetspeech_ckpt_1.0.0a.model.tar/exp/ chunk_conformer/checkpoints/avg_10.pdparams
[2022-05-14 04:56:17,543] [ INFO] - /root/.paddlespeech/models/conformer_online_wenetspeech-zh-16k/asr1_chunk_conformer_wenetspeech_ckpt_1.0.0a.model.tar/exp/ chunk_conformer/checkpoints/avg_10.pdparams
[2022-05-14 04:56:17,852] [ INFO] - start to create the stream conformer asr engine
[2022-05-14 04:56:17,863] [ INFO] - model name: conformer_online
[2022-05-14 04:56:22,756] [ INFO] - create the transformer like model success
[2022-05-14 04:56:22,758] [ INFO] - Initialize ASR server engine successfully.
INFO: Started server process [4242]
[2022-05-14 04:56:22] [INFO] [server.py:75] Started server process [4242]
INFO: Waiting for application startup.
[2022-05-14 04:56:22] [INFO] [on.py:45] Waiting for application startup.
INFO: Application startup complete.
[2022-05-14 04:56:22] [INFO] [on.py:59] Application startup complete.
INFO: Uvicorn running on http://0.0.0.0:8090 (Press CTRL+C to quit)
[2022-05-14 04:56:22] [INFO] [server.py:211] Uvicorn running on http://0.0.0.0:8090 (Press CTRL+C to quit)
输出:
```text
[2022-05-14 04:56:13,086] [ INFO] - create the online asr engine instance
[2022-05-14 04:56:13,086] [ INFO] - paddlespeech_server set the device: cpu
[2022-05-14 04:56:13,087] [ INFO] - Load the pretrained model, tag = conformer_online_wenetspeech-zh-16k
[2022-05-14 04:56:13,087] [ INFO] - File /root/.paddlespeech/models/conformer_online_wenetspeech-zh-16k/asr1_chunk_conformer_wenetspeech_ckpt_1.0.0a.model.tar.gz md5 checking...
[2022-05-14 04:56:17,542] [ INFO] - Use pretrained model stored in: /root/.paddlespeech/models/conformer_online_wenetspeech-zh-16k/asr1_chunk_conformer_wenetspeech_ckpt_1. 0.0a.model.tar
[2022-05-14 04:56:17,543] [ INFO] - /root/.paddlespeech/models/conformer_online_wenetspeech-zh-16k/asr1_chunk_conformer_wenetspeech_ckpt_1.0.0a.model.tar
[2022-05-14 04:56:17,543] [ INFO] - /root/.paddlespeech/models/conformer_online_wenetspeech-zh-16k/asr1_chunk_conformer_wenetspeech_ckpt_1.0.0a.model.tar/model.yaml
[2022-05-14 04:56:17,543] [ INFO] - /root/.paddlespeech/models/conformer_online_wenetspeech-zh-16k/asr1_chunk_conformer_wenetspeech_ckpt_1.0.0a.model.tar/exp/ chunk_conformer/checkpoints/avg_10.pdparams
[2022-05-14 04:56:17,543] [ INFO] - /root/.paddlespeech/models/conformer_online_wenetspeech-zh-16k/asr1_chunk_conformer_wenetspeech_ckpt_1.0.0a.model.tar/exp/ chunk_conformer/checkpoints/avg_10.pdparams
[2022-05-14 04:56:17,852] [ INFO] - start to create the stream conformer asr engine
[2022-05-14 04:56:17,863] [ INFO] - model name: conformer_online
[2022-05-14 04:56:22,756] [ INFO] - create the transformer like model success
[2022-05-14 04:56:22,758] [ INFO] - Initialize ASR server engine successfully.
INFO: Started server process [4242]
[2022-05-14 04:56:22] [INFO] [server.py:75] Started server process [4242]
INFO: Waiting for application startup.
[2022-05-14 04:56:22] [INFO] [on.py:45] Waiting for application startup.
INFO: Application startup complete.
[2022-05-14 04:56:22] [INFO] [on.py:59] Application startup complete.
INFO: Uvicorn running on http://0.0.0.0:8090 (Press CTRL+C to quit)
[2022-05-14 04:56:22] [INFO] [server.py:211] Uvicorn running on http://0.0.0.0:8090 (Press CTRL+C to quit)
```
### 4. ASR 客户端使用方法
@ -124,98 +124,97 @@ wget -c https://paddlespeech.bj.bcebos.com/PaddleAudio/zh.wav
**注意：** 初次使用客户端时响应时间会略长
- 命令行 (推荐使用)
若 `127.0.0.1` 不能访问，则需要使用实际服务 IP 地址
若 `127.0.0.1` 不能访问，则需要使用实际服务 IP 地址
```
paddlespeech_client asr_online --server_ip 127.0.0.1 --port 8090 --input ./zh.wav
```
```bash
paddlespeech_client asr_online --server_ip 127.0.0.1 --port 8090 --input ./zh.wav
```
使用帮助:
```bash
paddlespeech_client asr_online --help
```
使用帮助:
参数:
- `server_ip`: 服务端ip地址，默认: 127.0.0.1。
- `port`: 服务端口，默认: 8090。
- `input`(必须输入): 用于识别的音频文件。
- `sample_rate`: 音频采样率，默认值：16000。
- `lang`: 模型语言，默认值：zh_cn。
- `audio_format`: 音频格式，默认值：wav。
- `punc.server_ip` 标点预测服务的ip。默认是None。
- `punc.server_port` 标点预测服务的端口port。默认是None。
输出:
```bash
[2022-05-06 21:10:35,598] [ INFO] - Start to do streaming asr client
[2022-05-06 21:10:35,600] [ INFO] - asr websocket client start
[2022-05-06 21:10:35,600] [ INFO] - endpoint: ws://127.0.0.1:8390/paddlespeech/asr/streaming
[2022-05-06 21:10:35,600] [ INFO] - start to process the wavscp: ./zh.wav
[2022-05-06 21:10:35,670] [ INFO] - client receive msg={"status": "ok", "signal": "server_ready"}
[2022-05-06 21:10:35,699] [ INFO] - client receive msg={'result': ''}
[2022-05-06 21:10:35,713] [ INFO] - client receive msg={'result': ''}
[2022-05-06 21:10:35,726] [ INFO] - client receive msg={'result': ''}
[2022-05-06 21:10:35,738] [ INFO] - client receive msg={'result': ''}
[2022-05-06 21:10:35,750] [ INFO] - client receive msg={'result': ''}
[2022-05-06 21:10:35,762] [ INFO] - client receive msg={'result': ''}
[2022-05-06 21:10:35,774] [ INFO] - client receive msg={'result': ''}
[2022-05-06 21:10:35,786] [ INFO] - client receive msg={'result': ''}
[2022-05-06 21:10:36,387] [ INFO] - client receive msg={'result': ''}
[2022-05-06 21:10:36,398] [ INFO] - client receive msg={'result': ''}
[2022-05-06 21:10:36,407] [ INFO] - client receive msg={'result': ''}
[2022-05-06 21:10:36,416] [ INFO] - client receive msg={'result': ''}
[2022-05-06 21:10:36,425] [ INFO] - client receive msg={'result': ''}
[2022-05-06 21:10:36,434] [ INFO] - client receive msg={'result': ''}
[2022-05-06 21:10:36,442] [ INFO] - client receive msg={'result': ''}
[2022-05-06 21:10:36,930] [ INFO] - client receive msg={'result': '我认为跑'}
[2022-05-06 21:10:36,938] [ INFO] - client receive msg={'result': '我认为跑'}
[2022-05-06 21:10:36,946] [ INFO] - client receive msg={'result': '我认为跑'}
[2022-05-06 21:10:36,954] [ INFO] - client receive msg={'result': '我认为跑'}
[2022-05-06 21:10:36,962] [ INFO] - client receive msg={'result': '我认为跑'}
[2022-05-06 21:10:36,970] [ INFO] - client receive msg={'result': '我认为跑'}
[2022-05-06 21:10:36,977] [ INFO] - client receive msg={'result': '我认为跑'}
[2022-05-06 21:10:36,985] [ INFO] - client receive msg={'result': '我认为跑'}
[2022-05-06 21:10:37,484] [ INFO] - client receive msg={'result': '我认为跑步最重要的'}
[2022-05-06 21:10:37,492] [ INFO] - client receive msg={'result': '我认为跑步最重要的'}
[2022-05-06 21:10:37,500] [ INFO] - client receive msg={'result': '我认为跑步最重要的'}
[2022-05-06 21:10:37,508] [ INFO] - client receive msg={'result': '我认为跑步最重要的'}
[2022-05-06 21:10:37,517] [ INFO] - client receive msg={'result': '我认为跑步最重要的'}
[2022-05-06 21:10:37,525] [ INFO] - client receive msg={'result': '我认为跑步最重要的'}
[2022-05-06 21:10:37,532] [ INFO] - client receive msg={'result': '我认为跑步最重要的'}
[2022-05-06 21:10:38,050] [ INFO] - client receive msg={'result': '我认为跑步最重要的就是'}
[2022-05-06 21:10:38,058] [ INFO] - client receive msg={'result': '我认为跑步最重要的就是'}
[2022-05-06 21:10:38,066] [ INFO] - client receive msg={'result': '我认为跑步最重要的就是'}
[2022-05-06 21:10:38,073] [ INFO] - client receive msg={'result': '我认为跑步最重要的就是'}
[2022-05-06 21:10:38,081] [ INFO] - client receive msg={'result': '我认为跑步最重要的就是'}
[2022-05-06 21:10:38,089] [ INFO] - client receive msg={'result': '我认为跑步最重要的就是'}
[2022-05-06 21:10:38,097] [ INFO] - client receive msg={'result': '我认为跑步最重要的就是'}
[2022-05-06 21:10:38,105] [ INFO] - client receive msg={'result': '我认为跑步最重要的就是'}
[2022-05-06 21:10:38,630] [ INFO] - client receive msg={'result': '我认为跑步最重要的就是给'}
[2022-05-06 21:10:38,639] [ INFO] - client receive msg={'result': '我认为跑步最重要的就是给'}
[2022-05-06 21:10:38,647] [ INFO] - client receive msg={'result': '我认为跑步最重要的就是给'}
[2022-05-06 21:10:38,655] [ INFO] - client receive msg={'result': '我认为跑步最重要的就是给'}
[2022-05-06 21:10:38,663] [ INFO] - client receive msg={'result': '我认为跑步最重要的就是给'}
[2022-05-06 21:10:38,671] [ INFO] - client receive msg={'result': '我认为跑步最重要的就是给'}
[2022-05-06 21:10:38,679] [ INFO] - client receive msg={'result': '我认为跑步最重要的就是给'}
[2022-05-06 21:10:39,216] [ INFO] - client receive msg={'result': '我认为跑步最重要的就是给我带来了'}
[2022-05-06 21:10:39,224] [ INFO] - client receive msg={'result': '我认为跑步最重要的就是给我带来了'}
[2022-05-06 21:10:39,232] [ INFO] - client receive msg={'result': '我认为跑步最重要的就是给我带来了'}
[2022-05-06 21:10:39,240] [ INFO] - client receive msg={'result': '我认为跑步最重要的就是给我带来了'}
[2022-05-06 21:10:39,248] [ INFO] - client receive msg={'result': '我认为跑步最重要的就是给我带来了'}
[2022-05-06 21:10:39,256] [ INFO] - client receive msg={'result': '我认为跑步最重要的就是给我带来了'}
[2022-05-06 21:10:39,264] [ INFO] - client receive msg={'result': '我认为跑步最重要的就是给我带来了'}
[2022-05-06 21:10:39,272] [ INFO] - client receive msg={'result': '我认为跑步最重要的就是给我带来了'}
[2022-05-06 21:10:39,885] [ INFO] - client receive msg={'result': '我认为跑步最重要的就是给我带来了身体健康'}
[2022-05-06 21:10:39,896] [ INFO] - client receive msg={'result': '我认为跑步最重要的就是给我带来了身体健康'}
[2022-05-06 21:10:39,905] [ INFO] - client receive msg={'result': '我认为跑步最重要的就是给我带来了身体健康'}
[2022-05-06 21:10:39,915] [ INFO] - client receive msg={'result': '我认为跑步最重要的就是给我带来了身体健康'}
[2022-05-06 21:10:39,924] [ INFO] - client receive msg={'result': '我认为跑步最重要的就是给我带来了身体健康'}
[2022-05-06 21:10:39,934] [ INFO] - client receive msg={'result': '我认为跑步最重要的就是给我带来了身体健康'}
[2022-05-06 21:10:44,827] [ INFO] - client final receive msg={'status': 'ok', 'signal': 'finished', 'result': '我认为跑步最重要的就是给我带来了身体健康', 'times': [{'w': '我', 'bg': 0.0, 'ed': 0.7000000000000001}, {'w': '认', 'bg': 0.7000000000000001, 'ed': 0.84}, {'w': '为', 'bg': 0.84, 'ed': 1.0}, {'w': '跑', 'bg': 1.0, 'ed': 1.18}, {'w': '步', 'bg': 1.18, 'ed': 1.36}, {'w': '最', 'bg': 1.36, 'ed': 1.5}, {'w': '重', 'bg': 1.5, 'ed': 1.6400000000000001}, {'w': '要', 'bg': 1.6400000000000001, 'ed': 1.78}, {'w': '的', 'bg': 1.78, 'ed': 1.9000000000000001}, {'w': '就', 'bg': 1.9000000000000001, 'ed': 2.06}, {'w': '是', 'bg': 2.06, 'ed': 2.62}, {'w': '给', 'bg': 2.62, 'ed': 3.16}, {'w': '我', 'bg': 3.16, 'ed': 3.3200000000000003}, {'w': '带', 'bg': 3.3200000000000003, 'ed': 3.48}, {'w': '来', 'bg': 3.48, 'ed': 3.62}, {'w': '了', 'bg': 3.62, 'ed': 3.7600000000000002}, {'w': '身', 'bg': 3.7600000000000002, 'ed': 3.9}, {'w': '体', 'bg': 3.9, 'ed': 4.0600000000000005}, {'w': '健', 'bg': 4.0600000000000005, 'ed': 4.26}, {'w': '康', 'bg': 4.26, 'ed': 4.96}]}
[2022-05-06 21:10:44,827] [ INFO] - audio duration: 4.9968125, elapsed time: 9.225094079971313, RTF=1.846195765794957
[2022-05-06 21:10:44,828] [ INFO] - asr websocket client finished : 我认为跑步最重要的就是给我带来了身体健康
```bash
paddlespeech_client asr_online --help
```
参数:
- `server_ip`: 服务端ip地址，默认: 127.0.0.1。
- `port`: 服务端口，默认: 8090。
- `input`(必须输入): 用于识别的音频文件。
- `sample_rate`: 音频采样率，默认值：16000。
- `lang`: 模型语言，默认值：zh_cn。
- `audio_format`: 音频格式，默认值：wav。
- `punc.server_ip` 标点预测服务的ip。默认是None。
- `punc.server_port` 标点预测服务的端口port。默认是None。
输出:
```text
[2022-05-06 21:10:35,598] [ INFO] - Start to do streaming asr client
[2022-05-06 21:10:35,600] [ INFO] - asr websocket client start
[2022-05-06 21:10:35,600] [ INFO] - endpoint: ws://127.0.0.1:8390/paddlespeech/asr/streaming
[2022-05-06 21:10:35,600] [ INFO] - start to process the wavscp: ./zh.wav
[2022-05-06 21:10:35,670] [ INFO] - client receive msg={"status": "ok", "signal": "server_ready"}
[2022-05-06 21:10:35,699] [ INFO] - client receive msg={'result': ''}
[2022-05-06 21:10:35,713] [ INFO] - client receive msg={'result': ''}
[2022-05-06 21:10:35,726] [ INFO] - client receive msg={'result': ''}
[2022-05-06 21:10:35,738] [ INFO] - client receive msg={'result': ''}
[2022-05-06 21:10:35,750] [ INFO] - client receive msg={'result': ''}
[2022-05-06 21:10:35,762] [ INFO] - client receive msg={'result': ''}
[2022-05-06 21:10:35,774] [ INFO] - client receive msg={'result': ''}
[2022-05-06 21:10:35,786] [ INFO] - client receive msg={'result': ''}
[2022-05-06 21:10:36,387] [ INFO] - client receive msg={'result': ''}
[2022-05-06 21:10:36,398] [ INFO] - client receive msg={'result': ''}
[2022-05-06 21:10:36,407] [ INFO] - client receive msg={'result': ''}
[2022-05-06 21:10:36,416] [ INFO] - client receive msg={'result': ''}
[2022-05-06 21:10:36,425] [ INFO] - client receive msg={'result': ''}
[2022-05-06 21:10:36,434] [ INFO] - client receive msg={'result': ''}
[2022-05-06 21:10:36,442] [ INFO] - client receive msg={'result': ''}
[2022-05-06 21:10:36,930] [ INFO] - client receive msg={'result': '我认为跑'}
[2022-05-06 21:10:36,938] [ INFO] - client receive msg={'result': '我认为跑'}
[2022-05-06 21:10:36,946] [ INFO] - client receive msg={'result': '我认为跑'}
[2022-05-06 21:10:36,954] [ INFO] - client receive msg={'result': '我认为跑'}
[2022-05-06 21:10:36,962] [ INFO] - client receive msg={'result': '我认为跑'}
[2022-05-06 21:10:36,970] [ INFO] - client receive msg={'result': '我认为跑'}
[2022-05-06 21:10:36,977] [ INFO] - client receive msg={'result': '我认为跑'}
[2022-05-06 21:10:36,985] [ INFO] - client receive msg={'result': '我认为跑'}
[2022-05-06 21:10:37,484] [ INFO] - client receive msg={'result': '我认为跑步最重要的'}
[2022-05-06 21:10:37,492] [ INFO] - client receive msg={'result': '我认为跑步最重要的'}
[2022-05-06 21:10:37,500] [ INFO] - client receive msg={'result': '我认为跑步最重要的'}
[2022-05-06 21:10:37,508] [ INFO] - client receive msg={'result': '我认为跑步最重要的'}
[2022-05-06 21:10:37,517] [ INFO] - client receive msg={'result': '我认为跑步最重要的'}
[2022-05-06 21:10:37,525] [ INFO] - client receive msg={'result': '我认为跑步最重要的'}
[2022-05-06 21:10:37,532] [ INFO] - client receive msg={'result': '我认为跑步最重要的'}
[2022-05-06 21:10:38,050] [ INFO] - client receive msg={'result': '我认为跑步最重要的就是'}
[2022-05-06 21:10:38,058] [ INFO] - client receive msg={'result': '我认为跑步最重要的就是'}
[2022-05-06 21:10:38,066] [ INFO] - client receive msg={'result': '我认为跑步最重要的就是'}
[2022-05-06 21:10:38,073] [ INFO] - client receive msg={'result': '我认为跑步最重要的就是'}
[2022-05-06 21:10:38,081] [ INFO] - client receive msg={'result': '我认为跑步最重要的就是'}
[2022-05-06 21:10:38,089] [ INFO] - client receive msg={'result': '我认为跑步最重要的就是'}
[2022-05-06 21:10:38,097] [ INFO] - client receive msg={'result': '我认为跑步最重要的就是'}
[2022-05-06 21:10:38,105] [ INFO] - client receive msg={'result': '我认为跑步最重要的就是'}
[2022-05-06 21:10:38,630] [ INFO] - client receive msg={'result': '我认为跑步最重要的就是给'}
[2022-05-06 21:10:38,639] [ INFO] - client receive msg={'result': '我认为跑步最重要的就是给'}
[2022-05-06 21:10:38,647] [ INFO] - client receive msg={'result': '我认为跑步最重要的就是给'}
[2022-05-06 21:10:38,655] [ INFO] - client receive msg={'result': '我认为跑步最重要的就是给'}
[2022-05-06 21:10:38,663] [ INFO] - client receive msg={'result': '我认为跑步最重要的就是给'}
[2022-05-06 21:10:38,671] [ INFO] - client receive msg={'result': '我认为跑步最重要的就是给'}
[2022-05-06 21:10:38,679] [ INFO] - client receive msg={'result': '我认为跑步最重要的就是给'}
[2022-05-06 21:10:39,216] [ INFO] - client receive msg={'result': '我认为跑步最重要的就是给我带来了'}
[2022-05-06 21:10:39,224] [ INFO] - client receive msg={'result': '我认为跑步最重要的就是给我带来了'}
[2022-05-06 21:10:39,232] [ INFO] - client receive msg={'result': '我认为跑步最重要的就是给我带来了'}
[2022-05-06 21:10:39,240] [ INFO] - client receive msg={'result': '我认为跑步最重要的就是给我带来了'}
[2022-05-06 21:10:39,248] [ INFO] - client receive msg={'result': '我认为跑步最重要的就是给我带来了'}
[2022-05-06 21:10:39,256] [ INFO] - client receive msg={'result': '我认为跑步最重要的就是给我带来了'}
[2022-05-06 21:10:39,264] [ INFO] - client receive msg={'result': '我认为跑步最重要的就是给我带来了'}
[2022-05-06 21:10:39,272] [ INFO] - client receive msg={'result': '我认为跑步最重要的就是给我带来了'}
[2022-05-06 21:10:39,885] [ INFO] - client receive msg={'result': '我认为跑步最重要的就是给我带来了身体健康'}
[2022-05-06 21:10:39,896] [ INFO] - client receive msg={'result': '我认为跑步最重要的就是给我带来了身体健康'}
[2022-05-06 21:10:39,905] [ INFO] - client receive msg={'result': '我认为跑步最重要的就是给我带来了身体健康'}
[2022-05-06 21:10:39,915] [ INFO] - client receive msg={'result': '我认为跑步最重要的就是给我带来了身体健康'}
[2022-05-06 21:10:39,924] [ INFO] - client receive msg={'result': '我认为跑步最重要的就是给我带来了身体健康'}
[2022-05-06 21:10:39,934] [ INFO] - client receive msg={'result': '我认为跑步最重要的就是给我带来了身体健康'}
[2022-05-06 21:10:44,827] [ INFO] - client final receive msg={'status': 'ok', 'signal': 'finished', 'result': '我认为跑步最重要的就是给我带来了身体健康', 'times': [{'w': '我', 'bg': 0.0, 'ed': 0.7000000000000001}, {'w': '认', 'bg': 0.7000000000000001, 'ed': 0.84}, {'w': '为', 'bg': 0.84, 'ed': 1.0}, {'w': '跑', 'bg': 1.0, 'ed': 1.18}, {'w': '步', 'bg': 1.18, 'ed': 1.36}, {'w': '最', 'bg': 1.36, 'ed': 1.5}, {'w': '重', 'bg': 1.5, 'ed': 1.6400000000000001}, {'w': '要', 'bg': 1.6400000000000001, 'ed': 1.78}, {'w': '的', 'bg': 1.78, 'ed': 1.9000000000000001}, {'w': '就', 'bg': 1.9000000000000001, 'ed': 2.06}, {'w': '是', 'bg': 2.06, 'ed': 2.62}, {'w': '给', 'bg': 2.62, 'ed': 3.16}, {'w': '我', 'bg': 3.16, 'ed': 3.3200000000000003}, {'w': '带', 'bg': 3.3200000000000003, 'ed': 3.48}, {'w': '来', 'bg': 3.48, 'ed': 3.62}, {'w': '了', 'bg': 3.62, 'ed': 3.7600000000000002}, {'w': '身', 'bg': 3.7600000000000002, 'ed': 3.9}, {'w': '体', 'bg': 3.9, 'ed': 4.0600000000000005}, {'w': '健', 'bg': 4.0600000000000005, 'ed': 4.26}, {'w': '康', 'bg': 4.26, 'ed': 4.96}]}
[2022-05-06 21:10:44,827] [ INFO] - audio duration: 4.9968125, elapsed time: 9.225094079971313, RTF=1.846195765794957
[2022-05-06 21:10:44,828] [ INFO] - asr websocket client finished : 我认为跑步最重要的就是给我带来了身体健康
```
- Python API
@ -234,7 +233,7 @@ wget -c https://paddlespeech.bj.bcebos.com/PaddleAudio/zh.wav
```
输出:
```bash
```text
[2022-05-06 21:14:03,137] [ INFO] - asr websocket client start
[2022-05-06 21:14:03,137] [ INFO] - endpoint: ws://127.0.0.1:8390/paddlespeech/asr/streaming
[2022-05-06 21:14:03,149] [ INFO] - client receive msg={"status": "ok", "signal": "server_ready"}
@ -301,34 +300,29 @@ wget -c https://paddlespeech.bj.bcebos.com/PaddleAudio/zh.wav
[2022-05-06 21:14:12,159] [ INFO] - audio duration: 4.9968125, elapsed time: 9.019973039627075, RTF=1.8051453881103354
[2022-05-06 21:14:12,160] [ INFO] - asr websocket client finished
```
## 标点预测
### 1. 服务端使用方法
- 命令行
**注意:** 默认部署在 `cpu` 设备上，可以通过修改服务配置文件中 `device` 参数部署在 `gpu` 上。
``` bash
在 PaddleSpeech/demos/streaming_asr_server 目录下启动标点预测服务
```bash
# 在 PaddleSpeech/demos/streaming_asr_server 目录下启动标点预测服务
paddlespeech_server start --config_file conf/punc_application.yaml
```
使用方法：
使用方法:
```bash
paddlespeech_server start --help
```
参数：
参数:
- `config_file`: 服务的配置文件。
- `log_file`: log 文件。
输出：
``` bash
输出:
```text
[2022-05-02 17:59:26,285] [ INFO] - Create the TextEngine Instance
[2022-05-02 17:59:26,285] [ INFO] - Init the text engine
[2022-05-02 17:59:26,285] [ INFO] - Text Engine set the device: gpu:0
@ -360,26 +354,26 @@ wget -c https://paddlespeech.bj.bcebos.com/PaddleAudio/zh.wav
log_file="./log/paddlespeech.log")
```
输出
```
[2022-05-02 18:09:02,542] [ INFO] - Create the TextEngine Instance
[2022-05-02 18:09:02,543] [ INFO] - Init the text engine
[2022-05-02 18:09:02,543] [ INFO] - Text Engine set the device: gpu:0
[2022-05-02 18:09:02,545] [ INFO] - File /home/users/xiongxinlei/.paddlespeech/models/ernie_linear_p3_wudao-punc-zh/ernie_linear_p3_wudao-punc-zh.tar.gz md5 checking...
[2022-05-02 18:09:06,919] [ INFO] - Use pretrained model stored in: /home/users/xiongxinlei/.paddlespeech/models/ernie_linear_p3_wudao-punc-zh/ernie_linear_p3_wudao-punc-zh.tar
W0502 18:09:07.523002 22615 device_context.cc:447] Please NOTE: device: 0, GPU Compute Capability: 6.1, Driver API Version: 10.2, Runtime API Version: 10.2
W0502 18:09:07.527882 22615 device_context.cc:465] device: 0, cuDNN Version: 7.6.
[2022-05-02 18:09:10,900] [ INFO] - Already cached /home/users/xiongxinlei/.paddlenlp/models/ernie-1.0/vocab.txt
[2022-05-02 18:09:10,913] [ INFO] - Init the text engine successfully
INFO: Started server process [22615]
[2022-05-02 18:09:10] [INFO] [server.py:75] Started server process [22615]
INFO: Waiting for application startup.
[2022-05-02 18:09:10] [INFO] [on.py:45] Waiting for application startup.
INFO: Application startup complete.
[2022-05-02 18:09:10] [INFO] [on.py:59] Application startup complete.
INFO: Uvicorn running on http://0.0.0.0:8190 (Press CTRL+C to quit)
[2022-05-02 18:09:10] [INFO] [server.py:206] Uvicorn running on http://0.0.0.0:8190 (Press CTRL+C to quit)
```
输出:
```text
[2022-05-02 18:09:02,542] [ INFO] - Create the TextEngine Instance
[2022-05-02 18:09:02,543] [ INFO] - Init the text engine
[2022-05-02 18:09:02,543] [ INFO] - Text Engine set the device: gpu:0
[2022-05-02 18:09:02,545] [ INFO] - File /home/users/xiongxinlei/.paddlespeech/models/ernie_linear_p3_wudao-punc-zh/ernie_linear_p3_wudao-punc-zh.tar.gz md5 checking...
[2022-05-02 18:09:06,919] [ INFO] - Use pretrained model stored in: /home/users/xiongxinlei/.paddlespeech/models/ernie_linear_p3_wudao-punc-zh/ernie_linear_p3_wudao-punc-zh.tar
W0502 18:09:07.523002 22615 device_context.cc:447] Please NOTE: device: 0, GPU Compute Capability: 6.1, Driver API Version: 10.2, Runtime API Version: 10.2
W0502 18:09:07.527882 22615 device_context.cc:465] device: 0, cuDNN Version: 7.6.
[2022-05-02 18:09:10,900] [ INFO] - Already cached /home/users/xiongxinlei/.paddlenlp/models/ernie-1.0/vocab.txt
[2022-05-02 18:09:10,913] [ INFO] - Init the text engine successfully
INFO: Started server process [22615]
[2022-05-02 18:09:10] [INFO] [server.py:75] Started server process [22615]
INFO: Waiting for application startup.
[2022-05-02 18:09:10] [INFO] [on.py:45] Waiting for application startup.
INFO: Application startup complete.
[2022-05-02 18:09:10] [INFO] [on.py:59] Application startup complete.
INFO: Uvicorn running on http://0.0.0.0:8190 (Press CTRL+C to quit)
[2022-05-02 18:09:10] [INFO] [server.py:206] Uvicorn running on http://0.0.0.0:8190 (Press CTRL+C to quit)
```
### 2. 标点预测客户端使用方法
**注意：** 初次使用客户端时响应时间会略长
@ -388,17 +382,17 @@ wget -c https://paddlespeech.bj.bcebos.com/PaddleAudio/zh.wav
若 `127.0.0.1` 不能访问，则需要使用实际服务 IP 地址
```
paddlespeech_client text --server_ip 127.0.0.1 --port 8190 --input "我认为跑步最重要的就是给我带来了身体健康"
```
输出
```bash
paddlespeech_client text --server_ip 127.0.0.1 --port 8190 --input "我认为跑步最重要的就是给我带来了身体健康"
```
输出:
```text
[2022-05-02 18:12:29,767] [ INFO] - The punc text: 我认为跑步最重要的就是给我带来了身体健康。
[2022-05-02 18:12:29,767] [ INFO] - Response time 0.096548 s.
```
- Python3 API
- Python API
```python
from paddlespeech.server.bin.paddlespeech_client import TextClientExecutor
@ -411,12 +405,11 @@ wget -c https://paddlespeech.bj.bcebos.com/PaddleAudio/zh.wav
print(res)
```
输出：
``` bash
输出:
```text
我认为跑步最重要的就是给我带来了身体健康。
```
## 联合流式语音识别和标点预测
**注意:** 默认部署在 `cpu` 设备上，可以通过修改服务配置文件中 `device` 参数将语音识别和标点预测部署在不同的 `gpu` 上。
@ -424,7 +417,7 @@ wget -c https://paddlespeech.bj.bcebos.com/PaddleAudio/zh.wav
### 1. 启动服务
``` bash
```bash
注意：流式语音识别和标点预测通过配置文件配置到不同的显卡上
bash server.sh
```
@ -434,11 +427,11 @@ bash server.sh
若 `127.0.0.1` 不能访问，则需要使用实际服务 IP 地址
```
```bash
paddlespeech_client asr_online --server_ip 127.0.0.1 --port 8290 --punc.server_ip 127.0.0.1 --punc.port 8190 --input ./zh.wav
```
输出：
```
输出:
```text
[2022-05-07 11:21:47,060] [ INFO] - asr websocket client start
[2022-05-07 11:21:47,060] [ INFO] - endpoint: ws://127.0.0.1:8490/paddlespeech/asr/streaming
[2022-05-07 11:21:47,080] [ INFO] - client receive msg={"status": "ok", "signal": "server_ready"}
@ -512,11 +505,11 @@ bash server.sh
若 `127.0.0.1` 不能访问，则需要使用实际服务 IP 地址
```
```bash
python3 websocket_client.py --server_ip 127.0.0.1 --port 8290 --punc.server_ip 127.0.0.1 --punc.port 8190 --wavfile ./zh.wav
```
输出：
```
输出:
```text
[2022-05-07 11:11:02,984] [ INFO] - Start to do streaming asr client
[2022-05-07 11:11:02,985] [ INFO] - asr websocket client start
[2022-05-07 11:11:02,985] [ INFO] - endpoint: ws://127.0.0.1:8490/paddlespeech/asr/streaming
@ -585,5 +578,3 @@ bash server.sh
[2022-05-07 11:11:18,915] [ INFO] - audio duration: 4.9968125, elapsed time: 15.928460597991943, RTF=3.187724293835709
[2022-05-07 11:11:18,916] [ INFO] - asr websocket client finished : 我认为跑步最重要的就是给我带来了身体健康
```

97
demos/streaming_tts_server/README.md
Unescape View File

@ -9,7 +9,6 @@ For service interface definition, please check:
- [PaddleSpeech Server RESTful API](https://github.com/PaddlePaddle/PaddleSpeech/wiki/PaddleSpeech-Server-RESTful-API)
- [PaddleSpeech Streaming Server WebSocket API](https://github.com/PaddlePaddle/PaddleSpeech/wiki/PaddleSpeech-Server-WebSocket-API)
## Usage
### 1. Installation
see [installation](https://github.com/PaddlePaddle/PaddleSpeech/blob/develop/docs/source/install.md).
@ -34,11 +33,10 @@ The configuration file can be found in `conf/tts_online_application.yaml`.
- Both hifigan and mb_melgan support streaming voc inference.
- When the voc model is mb_melgan, when voc_pad=14, the synthetic audio for streaming inference is consistent with the non-streaming synthetic audio; the minimum voc_pad can be set to 7, and the synthetic audio has no abnormal hearing. If the voc_pad is less than 7, the synthetic audio sounds abnormal.
- When the voc model is hifigan, when voc_pad=19, the streaming inference synthetic audio is consistent with the non-streaming synthetic audio; when voc_pad=14, the synthetic audio has no abnormal hearing.
- Pad calculation method of streaming vocoder in PaddleSpeech: [AIStudio tutorial](https://aistudio.baidu.com/aistudio/projectdetail/4151335)
- Inference speed: mb_melgan > hifigan; Audio quality: mb_melgan < hifigan
- **Note:** If the service can be started normally in the container, but the client access IP is unreachable, you can try to replace the `host` address in the configuration file with the local IP address.
### 3. Streaming speech synthesis server and client using http protocol
#### 3.1 Server Usage
- Command Line (Recommended)
@ -58,7 +56,7 @@ The configuration file can be found in `conf/tts_online_application.yaml`.
- `log_file`: log file. Default: ./log/paddlespeech.log
Output:
```bash
```text
[2022-04-24 20:05:27,887] [ INFO] - The first response time of the 0 warm up: 1.0123658180236816 s
[2022-04-24 20:05:28,038] [ INFO] - The first response time of the 1 warm up: 0.15108466148376465 s
[2022-04-24 20:05:28,191] [ INFO] - The first response time of the 2 warm up: 0.15317344665527344 s
@ -84,8 +82,8 @@ The configuration file can be found in `conf/tts_online_application.yaml`.
log_file="./log/paddlespeech.log")
```
Output:
```bash
Output:
```text
[2022-04-24 21:00:16,934] [ INFO] - The first response time of the 0 warm up: 1.268730878829956 s
[2022-04-24 21:00:17,046] [ INFO] - The first response time of the 1 warm up: 0.11168622970581055 s
[2022-04-24 21:00:17,151] [ INFO] - The first response time of the 2 warm up: 0.10413002967834473 s
@ -98,8 +96,6 @@ The configuration file can be found in `conf/tts_online_application.yaml`.
[2022-04-24 21:00:17] [INFO] [on.py:59] Application startup complete.
INFO: Uvicorn running on http://0.0.0.0:8092 (Press CTRL+C to quit)
[2022-04-24 21:00:17] [INFO] [server.py:211] Uvicorn running on http://0.0.0.0:8092 (Press CTRL+C to quit)
```
#### 3.2 Streaming TTS client Usage
@ -130,7 +126,7 @@ The configuration file can be found in `conf/tts_online_application.yaml`.
- Currently, only the single-speaker model is supported in the code, so `spk_id` does not take effect. Streaming TTS does not support changing sample rate, variable speed and volume.
Output:
```bash
```text
[2022-04-24 21:08:18,559] [ INFO] - tts http client start
[2022-04-24 21:08:21,702] [ INFO] - 句子：您好，欢迎使用百度飞桨语音合成服务。
[2022-04-24 21:08:21,703] [ INFO] - 首包响应：0.18863153457641602 s
@ -159,7 +155,7 @@ The configuration file can be found in `conf/tts_online_application.yaml`.
```
Output:
```bash
```text
[2022-04-24 21:11:13,798] [ INFO] - tts http client start
[2022-04-24 21:11:16,800] [ INFO] - 句子：您好，欢迎使用百度飞桨语音合成服务。
[2022-04-24 21:11:16,801] [ INFO] - 首包响应：0.18234872817993164 s
@ -169,7 +165,6 @@ The configuration file can be found in `conf/tts_online_application.yaml`.
[2022-04-24 21:11:16,837] [ INFO] - 音频保存至：./output.wav
```
### 4. Streaming speech synthesis server and client using websocket protocol
#### 4.1 Server Usage
- Command Line (Recommended)
@ -189,21 +184,19 @@ The configuration file can be found in `conf/tts_online_application.yaml`.
- `log_file`: log file. Default: ./log/paddlespeech.log
Output:
```bash
[2022-04-27 10:18:09,107] [ INFO] - The first response time of the 0 warm up: 1.1551103591918945 s
[2022-04-27 10:18:09,219] [ INFO] - The first response time of the 1 warm up: 0.11204338073730469 s
[2022-04-27 10:18:09,324] [ INFO] - The first response time of the 2 warm up: 0.1051797866821289 s
[2022-04-27 10:18:09,325] [ INFO] - **********************************************************************
INFO: Started server process [17600]
[2022-04-27 10:18:09] [INFO] [server.py:75] Started server process [17600]
INFO: Waiting for application startup.
[2022-04-27 10:18:09] [INFO] [on.py:45] Waiting for application startup.
INFO: Application startup complete.
[2022-04-27 10:18:09] [INFO] [on.py:59] Application startup complete.
INFO: Uvicorn running on http://0.0.0.0:8092 (Press CTRL+C to quit)
[2022-04-27 10:18:09] [INFO] [server.py:211] Uvicorn running on http://0.0.0.0:8092 (Press CTRL+C to quit)
```text
[2022-04-27 10:18:09,107] [ INFO] - The first response time of the 0 warm up: 1.1551103591918945 s
[2022-04-27 10:18:09,219] [ INFO] - The first response time of the 1 warm up: 0.11204338073730469 s
[2022-04-27 10:18:09,324] [ INFO] - The first response time of the 2 warm up: 0.1051797866821289 s
[2022-04-27 10:18:09,325] [ INFO] - **********************************************************************
INFO: Started server process [17600]
[2022-04-27 10:18:09] [INFO] [server.py:75] Started server process [17600]
INFO: Waiting for application startup.
[2022-04-27 10:18:09] [INFO] [on.py:45] Waiting for application startup.
INFO: Application startup complete.
[2022-04-27 10:18:09] [INFO] [on.py:59] Application startup complete.
INFO: Uvicorn running on http://0.0.0.0:8092 (Press CTRL+C to quit)
[2022-04-27 10:18:09] [INFO] [server.py:211] Uvicorn running on http://0.0.0.0:8092 (Press CTRL+C to quit)
```
- Python API
@ -217,20 +210,19 @@ The configuration file can be found in `conf/tts_online_application.yaml`.
```
Output:
```bash
[2022-04-27 10:20:16,660] [ INFO] - The first response time of the 0 warm up: 1.0945196151733398 s
[2022-04-27 10:20:16,773] [ INFO] - The first response time of the 1 warm up: 0.11222052574157715 s
[2022-04-27 10:20:16,878] [ INFO] - The first response time of the 2 warm up: 0.10494542121887207 s
[2022-04-27 10:20:16,878] [ INFO] - **********************************************************************
INFO: Started server process [23466]
[2022-04-27 10:20:16] [INFO] [server.py:75] Started server process [23466]
INFO: Waiting for application startup.
[2022-04-27 10:20:16] [INFO] [on.py:45] Waiting for application startup.
INFO: Application startup complete.
[2022-04-27 10:20:16] [INFO] [on.py:59] Application startup complete.
INFO: Uvicorn running on http://0.0.0.0:8092 (Press CTRL+C to quit)
[2022-04-27 10:20:16] [INFO] [server.py:211] Uvicorn running on http://0.0.0.0:8092 (Press CTRL+C to quit)
```text
[2022-04-27 10:20:16,660] [ INFO] - The first response time of the 0 warm up: 1.0945196151733398 s
[2022-04-27 10:20:16,773] [ INFO] - The first response time of the 1 warm up: 0.11222052574157715 s
[2022-04-27 10:20:16,878] [ INFO] - The first response time of the 2 warm up: 0.10494542121887207 s
[2022-04-27 10:20:16,878] [ INFO] - **********************************************************************
INFO: Started server process [23466]
[2022-04-27 10:20:16] [INFO] [server.py:75] Started server process [23466]
INFO: Waiting for application startup.
[2022-04-27 10:20:16] [INFO] [on.py:45] Waiting for application startup.
INFO: Application startup complete.
[2022-04-27 10:20:16] [INFO] [on.py:59] Application startup complete.
INFO: Uvicorn running on http://0.0.0.0:8092 (Press CTRL+C to quit)
[2022-04-27 10:20:16] [INFO] [server.py:211] Uvicorn running on http://0.0.0.0:8092 (Press CTRL+C to quit)
```
#### 4.2 Streaming TTS client Usage
@ -263,7 +255,7 @@ The configuration file can be found in `conf/tts_online_application.yaml`.
Output:
```bash
```text
[2022-04-27 10:21:04,262] [ INFO] - tts websocket client start
[2022-04-27 10:21:04,496] [ INFO] - 句子：您好，欢迎使用百度飞桨语音合成服务。
[2022-04-27 10:21:04,496] [ INFO] - 首包响应：0.2124948501586914 s
@ -271,7 +263,6 @@ The configuration file can be found in `conf/tts_online_application.yaml`.
[2022-04-27 10:21:07,484] [ INFO] - 音频时长：3.825 s
[2022-04-27 10:21:07,484] [ INFO] - RTF: 0.8363677006141812
[2022-04-27 10:21:07,516] [ INFO] - 音频保存至：output.wav
```
- Python API
@ -288,21 +279,15 @@ The configuration file can be found in `conf/tts_online_application.yaml`.
spk_id=0,
output="./output.wav",
play=False)
```
Output:
```bash
[2022-04-27 10:22:48,852] [ INFO] - tts websocket client start
[2022-04-27 10:22:49,080] [ INFO] - 句子：您好，欢迎使用百度飞桨语音合成服务。
[2022-04-27 10:22:49,080] [ INFO] - 首包响应：0.21017956733703613 s
[2022-04-27 10:22:52,100] [ INFO] - 尾包响应：3.2304444313049316 s
[2022-04-27 10:22:52,101] [ INFO] - 音频时长：3.825 s
[2022-04-27 10:22:52,101] [ INFO] - RTF: 0.8445606356352762
[2022-04-27 10:22:52,134] [ INFO] - 音频保存至：./output.wav
```text
[2022-04-27 10:22:48,852] [ INFO] - tts websocket client start
[2022-04-27 10:22:49,080] [ INFO] - 句子：您好，欢迎使用百度飞桨语音合成服务。
[2022-04-27 10:22:49,080] [ INFO] - 首包响应：0.21017956733703613 s
[2022-04-27 10:22:52,100] [ INFO] - 尾包响应：3.2304444313049316 s
[2022-04-27 10:22:52,101] [ INFO] - 音频时长：3.825 s
[2022-04-27 10:22:52,101] [ INFO] - RTF: 0.8445606356352762
[2022-04-27 10:22:52,134] [ INFO] - 音频保存至：./output.wav
```

75
demos/streaming_tts_server/README_cn.md
Unescape View File

@ -18,7 +18,6 @@
**如果使用简单模式安装，需要自行准备 yaml 文件，可参考 conf 目录下的 yaml 文件。**
### 2. 准备配置文件
配置文件可参见 `conf/tts_online_application.yaml` 。
- `protocol` 表示该流式 TTS 服务使用的网络协议，目前支持 **http 和 websocket** 两种。
@ -33,6 +32,7 @@
- hifigan, mb_melgan 均支持流式 voc 推理
- 当 voc 模型为 mb_melgan，当 voc_pad=14 时，流式推理合成音频与非流式合成音频一致；voc_pad 最小可以设置为7，合成音频听感上没有异常，若 voc_pad 小于7，合成音频听感上存在异常。
- 当 voc 模型为 hifigan，当 voc_pad=19 时，流式推理合成音频与非流式合成音频一致；当 voc_pad=14 时，合成音频听感上没有异常。
- PaddleSpeech 中流式声码器 Pad 计算方法: [AIStudio 教程](https://aistudio.baidu.com/aistudio/projectdetail/4151335)
- 推理速度：mb_melgan > hifigan; 音频质量：mb_melgan < hifigan
- **注意：** 如果在容器里可正常启动服务，但客户端访问 ip 不可达，可尝试将配置文件中 `host` 地址换成本地 ip 地址。
@ -56,7 +56,7 @@
- `log_file`: log 文件. 默认：./log/paddlespeech.log
输出:
```bash
```text
[2022-04-24 20:05:27,887] [ INFO] - The first response time of the 0 warm up: 1.0123658180236816 s
[2022-04-24 20:05:28,038] [ INFO] - The first response time of the 1 warm up: 0.15108466148376465 s
[2022-04-24 20:05:28,191] [ INFO] - The first response time of the 2 warm up: 0.15317344665527344 s
@ -81,8 +81,8 @@
log_file="./log/paddlespeech.log")
```
输出：
```bash
输出:
```text
[2022-04-24 21:00:16,934] [ INFO] - The first response time of the 0 warm up: 1.268730878829956 s
[2022-04-24 21:00:17,046] [ INFO] - The first response time of the 1 warm up: 0.11168622970581055 s
[2022-04-24 21:00:17,151] [ INFO] - The first response time of the 2 warm up: 0.10413002967834473 s
@ -126,7 +126,7 @@
输出:
```bash
```text
[2022-04-24 21:08:18,559] [ INFO] - tts http client start
[2022-04-24 21:08:21,702] [ INFO] - 句子：您好，欢迎使用百度飞桨语音合成服务。
[2022-04-24 21:08:21,703] [ INFO] - 首包响应：0.18863153457641602 s
@ -184,20 +184,19 @@
- `log_file`: log 文件. 默认：./log/paddlespeech.log
输出:
```bash
[2022-04-27 10:18:09,107] [ INFO] - The first response time of the 0 warm up: 1.1551103591918945 s
[2022-04-27 10:18:09,219] [ INFO] - The first response time of the 1 warm up: 0.11204338073730469 s
[2022-04-27 10:18:09,324] [ INFO] - The first response time of the 2 warm up: 0.1051797866821289 s
[2022-04-27 10:18:09,325] [ INFO] - **********************************************************************
INFO: Started server process [17600]
[2022-04-27 10:18:09] [INFO] [server.py:75] Started server process [17600]
INFO: Waiting for application startup.
[2022-04-27 10:18:09] [INFO] [on.py:45] Waiting for application startup.
INFO: Application startup complete.
[2022-04-27 10:18:09] [INFO] [on.py:59] Application startup complete.
INFO: Uvicorn running on http://0.0.0.0:8092 (Press CTRL+C to quit)
[2022-04-27 10:18:09] [INFO] [server.py:211] Uvicorn running on http://0.0.0.0:8092 (Press CTRL+C to quit)
```text
[2022-04-27 10:18:09,107] [ INFO] - The first response time of the 0 warm up: 1.1551103591918945 s
[2022-04-27 10:18:09,219] [ INFO] - The first response time of the 1 warm up: 0.11204338073730469 s
[2022-04-27 10:18:09,324] [ INFO] - The first response time of the 2 warm up: 0.1051797866821289 s
[2022-04-27 10:18:09,325] [ INFO] - **********************************************************************
INFO: Started server process [17600]
[2022-04-27 10:18:09] [INFO] [server.py:75] Started server process [17600]
INFO: Waiting for application startup.
[2022-04-27 10:18:09] [INFO] [on.py:45] Waiting for application startup.
INFO: Application startup complete.
[2022-04-27 10:18:09] [INFO] [on.py:59] Application startup complete.
INFO: Uvicorn running on http://0.0.0.0:8092 (Press CTRL+C to quit)
[2022-04-27 10:18:09] [INFO] [server.py:211] Uvicorn running on http://0.0.0.0:8092 (Press CTRL+C to quit)
```
- Python API
@ -210,21 +209,20 @@
log_file="./log/paddlespeech.log")
```
输出：
```bash
[2022-04-27 10:20:16,660] [ INFO] - The first response time of the 0 warm up: 1.0945196151733398 s
[2022-04-27 10:20:16,773] [ INFO] - The first response time of the 1 warm up: 0.11222052574157715 s
[2022-04-27 10:20:16,878] [ INFO] - The first response time of the 2 warm up: 0.10494542121887207 s
[2022-04-27 10:20:16,878] [ INFO] - **********************************************************************
INFO: Started server process [23466]
[2022-04-27 10:20:16] [INFO] [server.py:75] Started server process [23466]
INFO: Waiting for application startup.
[2022-04-27 10:20:16] [INFO] [on.py:45] Waiting for application startup.
INFO: Application startup complete.
[2022-04-27 10:20:16] [INFO] [on.py:59] Application startup complete.
INFO: Uvicorn running on http://0.0.0.0:8092 (Press CTRL+C to quit)
[2022-04-27 10:20:16] [INFO] [server.py:211] Uvicorn running on http://0.0.0.0:8092 (Press CTRL+C to quit)
输出:
```text
[2022-04-27 10:20:16,660] [ INFO] - The first response time of the 0 warm up: 1.0945196151733398 s
[2022-04-27 10:20:16,773] [ INFO] - The first response time of the 1 warm up: 0.11222052574157715 s
[2022-04-27 10:20:16,878] [ INFO] - The first response time of the 2 warm up: 0.10494542121887207 s
[2022-04-27 10:20:16,878] [ INFO] - **********************************************************************
INFO: Started server process [23466]
[2022-04-27 10:20:16] [INFO] [server.py:75] Started server process [23466]
INFO: Waiting for application startup.
[2022-04-27 10:20:16] [INFO] [on.py:45] Waiting for application startup.
INFO: Application startup complete.
[2022-04-27 10:20:16] [INFO] [on.py:59] Application startup complete.
INFO: Uvicorn running on http://0.0.0.0:8092 (Press CTRL+C to quit)
[2022-04-27 10:20:16] [INFO] [server.py:211] Uvicorn running on http://0.0.0.0:8092 (Press CTRL+C to quit)
```
#### 4.2 客户端使用方法
@ -256,7 +254,7 @@
输出:
```bash
```text
[2022-04-27 10:21:04,262] [ INFO] - tts websocket client start
[2022-04-27 10:21:04,496] [ INFO] - 句子：您好，欢迎使用百度飞桨语音合成服务。
[2022-04-27 10:21:04,496] [ INFO] - 首包响应：0.2124948501586914 s
@ -264,7 +262,6 @@
[2022-04-27 10:21:07,484] [ INFO] - 音频时长：3.825 s
[2022-04-27 10:21:07,484] [ INFO] - RTF: 0.8363677006141812
[2022-04-27 10:21:07,516] [ INFO] - 音频保存至：output.wav
```
- Python API
@ -281,11 +278,10 @@
spk_id=0,
output="./output.wav",
play=False)
```
输出:
```bash
```text
[2022-04-27 10:22:48,852] [ INFO] - tts websocket client start
[2022-04-27 10:22:49,080] [ INFO] - 句子：您好，欢迎使用百度飞桨语音合成服务。
[2022-04-27 10:22:49,080] [ INFO] - 首包响应：0.21017956733703613 s
@ -293,5 +289,4 @@
[2022-04-27 10:22:52,101] [ INFO] - 音频时长：3.825 s
[2022-04-27 10:22:52,101] [ INFO] - RTF: 0.8445606356352762
[2022-04-27 10:22:52,134] [ INFO] - 音频保存至：./output.wav
```
```

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