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Merge pull request #1901 from Honei/r1.0

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[r1.0]update the vector and text readme, test=doc
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demos/speech_server/README.md
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@ -236,6 +236,166 @@ wget -c https://paddlespeech.bj.bcebos.com/PaddleAudio/zh.wav https://paddlespee
``` ```
### 7. Speaker Verification Client Usage
#### 7.1 Extract speaker embedding
**Note:** The response time will be slightly longer when using the client for the first time
- Command Line (Recommended)
``` bash
paddlespeech_client vector --task spk --server_ip 127.0.0.1 --port 8590 --input 85236145389.wav
```
* Usage:
``` bash
paddlespeech_client vector --help
```
* Arguments:
* server_ip: server ip. Default: 127.0.0.1
* port: server port. Default: 8090
* input(required): Input text to generate.
* task: the task of vector, can be use 'spk' or 'score。Default is 'spk'。
* enroll: enroll audio
* test: test audio
* Output:
``` bash
[2022-05-08 00:18:44,249] [ INFO] - vector http client start
[2022-05-08 00:18:44,250] [ INFO] - the input audio: 85236145389.wav
[2022-05-08 00:18:44,250] [ INFO] - endpoint: http://127.0.0.1:8590/paddlespeech/vector
[2022-05-08 00:18:44,250] [ INFO] - http://127.0.0.1:8590/paddlespeech/vector
[2022-05-08 00:18:44,406] [ INFO] - The vector: {'success': True, 'code': 200, 'message': {'description': 'success'}, 'result': {'vec': [1.421751856803894, 5.626245498657227, -5.342077255249023, 1.1773887872695923, 3.3080549240112305, 1.7565933465957642, 5.167886257171631, 10.806358337402344, -3.8226819038391113, -5.614140033721924, 2.6238479614257812, -0.8072972893714905, 1.9635076522827148, -7.312870025634766, 0.011035939678549767, -9.723129272460938, 0.6619706153869629, -6.976806163787842, 10.213476181030273, 7.494769096374512, 2.9105682373046875, 3.8949244022369385, 3.799983501434326, 7.106168746948242, 16.90532875061035, -7.149388313293457, 8.733108520507812, 3.423006296157837, -4.831653594970703, -11.403363227844238, 11.232224464416504, 7.127461910247803, -4.282842636108398, 2.452359437942505, -5.130749702453613, -18.17766761779785, -2.6116831302642822, -11.000344276428223, -6.731433391571045, 1.6564682722091675, 0.7618281245231628, 1.125300407409668, -2.0838370323181152, 4.725743293762207, -8.782588005065918, -3.5398752689361572, 3.8142364025115967, 5.142068862915039, 2.1620609760284424, 4.09643030166626, -6.416214942932129, 12.747446060180664, 1.9429892301559448, -15.15294361114502, 6.417416095733643, 16.09701156616211, -9.716667175292969, -1.9920575618743896, -3.36494779586792, -1.8719440698623657, 11.567351341247559, 3.6978814601898193, 11.258262634277344, 7.442368507385254, 9.183408737182617, 4.528149127960205, -1.2417854070663452, 4.395912170410156, 6.6727728843688965, 5.88988733291626, 7.627128601074219, -0.6691966652870178, -11.889698028564453, -9.20886516571045, -7.42740535736084, -3.777663230895996, 6.917238712310791, -9.848755836486816, -2.0944676399230957, -5.1351165771484375, 0.4956451654434204, 9.317537307739258, -5.914181232452393, -1.809860348701477, -0.11738915741443634, -7.1692705154418945, -1.057827353477478, -5.721670627593994, -5.117385387420654, 16.13765525817871, -4.473617076873779, 7.6624321937561035, -0.55381840467453, 9.631585121154785, -6.470459461212158, -8.548508644104004, 4.371616840362549, -0.7970245480537415, 4.4789886474609375, -2.975860834121704, 3.2721822261810303, 2.838287830352783, 5.134591102600098, -9.19079875946045, -0.5657302737236023, -4.8745832443237305, 2.3165574073791504, -5.984319686889648, -2.1798853874206543, 0.3554139733314514, -0.3178512752056122, 9.493552207946777, 2.1144471168518066, 4.358094692230225, -12.089824676513672, 8.451693534851074, -7.925466537475586, 4.624246597290039, 4.428936958312988, 18.69200897216797, -2.6204581260681152, -5.14918851852417, -0.3582090139389038, 8.488558769226074, 4.98148775100708, -9.326835632324219, -2.2544219493865967, 6.641760349273682, 1.2119598388671875, 10.977124214172363, 16.555034637451172, 3.3238420486450195, 9.551861763000488, -1.6676981449127197, -0.7953944206237793, -8.605667114257812, -0.4735655188560486, 2.674196243286133, -5.359177112579346, -2.66738224029541, 0.6660683155059814, 15.44322681427002, 4.740593433380127, -3.472534418106079, 11.592567443847656, -2.0544962882995605, 1.736127495765686, -8.265326499938965, -9.30447769165039, 5.406829833984375, -1.518022894859314, -7.746612548828125, -6.089611053466797, 0.07112743705511093, -0.3490503430366516, -8.64989185333252, -9.998957633972168, -2.564845085144043, -0.5399947762489319, 2.6018123626708984, -0.3192799389362335, -1.8815255165100098, -2.0721492767333984, -3.410574436187744, -8.29980754852295, 1.483638048171997, -15.365986824035645, -8.288211822509766, 3.884779930114746, -3.4876468181610107, 7.362999439239502, 0.4657334089279175, 3.1326050758361816, 12.438895225524902, -1.8337041139602661, 4.532927989959717, 2.7264339923858643, 10.14534854888916, -6.521963596343994, 2.897155523300171, -3.392582654953003, 5.079153060913086, 7.7597246170043945, 4.677570819854736, 5.845779895782471, 2.402411460876465, 7.7071051597595215, 3.9711380004882812, -6.39003849029541, 6.12687873840332, -3.776029348373413, -11.118121147155762]}}
[2022-05-08 00:18:44,406] [ INFO] - Response time 0.156481 s.
```
* Python API
``` python
from paddlespeech.server.bin.paddlespeech_client import VectorClientExecutor
vectorclient_executor = VectorClientExecutor()
res = vectorclient_executor(
input="85236145389.wav",
server_ip="127.0.0.1",
port=8590,
task="spk")
print(res)
```
* Output:
``` bash
{'success': True, 'code': 200, 'message': {'description': 'success'}, 'result': {'vec': [1.421751856803894, 5.626245498657227, -5.342077255249023, 1.1773887872695923, 3.3080549240112305, 1.7565933465957642, 5.167886257171631, 10.806358337402344, -3.8226819038391113, -5.614140033721924, 2.6238479614257812, -0.8072972893714905, 1.9635076522827148, -7.312870025634766, 0.011035939678549767, -9.723129272460938, 0.6619706153869629, -6.976806163787842, 10.213476181030273, 7.494769096374512, 2.9105682373046875, 3.8949244022369385, 3.799983501434326, 7.106168746948242, 16.90532875061035, -7.149388313293457, 8.733108520507812, 3.423006296157837, -4.831653594970703, -11.403363227844238, 11.232224464416504, 7.127461910247803, -4.282842636108398, 2.452359437942505, -5.130749702453613, -18.17766761779785, -2.6116831302642822, -11.000344276428223, -6.731433391571045, 1.6564682722091675, 0.7618281245231628, 1.125300407409668, -2.0838370323181152, 4.725743293762207, -8.782588005065918, -3.5398752689361572, 3.8142364025115967, 5.142068862915039, 2.1620609760284424, 4.09643030166626, -6.416214942932129, 12.747446060180664, 1.9429892301559448, -15.15294361114502, 6.417416095733643, 16.09701156616211, -9.716667175292969, -1.9920575618743896, -3.36494779586792, -1.8719440698623657, 11.567351341247559, 3.6978814601898193, 11.258262634277344, 7.442368507385254, 9.183408737182617, 4.528149127960205, -1.2417854070663452, 4.395912170410156, 6.6727728843688965, 5.88988733291626, 7.627128601074219, -0.6691966652870178, -11.889698028564453, -9.20886516571045, -7.42740535736084, -3.777663230895996, 6.917238712310791, -9.848755836486816, -2.0944676399230957, -5.1351165771484375, 0.4956451654434204, 9.317537307739258, -5.914181232452393, -1.809860348701477, -0.11738915741443634, -7.1692705154418945, -1.057827353477478, -5.721670627593994, -5.117385387420654, 16.13765525817871, -4.473617076873779, 7.6624321937561035, -0.55381840467453, 9.631585121154785, -6.470459461212158, -8.548508644104004, 4.371616840362549, -0.7970245480537415, 4.4789886474609375, -2.975860834121704, 3.2721822261810303, 2.838287830352783, 5.134591102600098, -9.19079875946045, -0.5657302737236023, -4.8745832443237305, 2.3165574073791504, -5.984319686889648, -2.1798853874206543, 0.3554139733314514, -0.3178512752056122, 9.493552207946777, 2.1144471168518066, 4.358094692230225, -12.089824676513672, 8.451693534851074, -7.925466537475586, 4.624246597290039, 4.428936958312988, 18.69200897216797, -2.6204581260681152, -5.14918851852417, -0.3582090139389038, 8.488558769226074, 4.98148775100708, -9.326835632324219, -2.2544219493865967, 6.641760349273682, 1.2119598388671875, 10.977124214172363, 16.555034637451172, 3.3238420486450195, 9.551861763000488, -1.6676981449127197, -0.7953944206237793, -8.605667114257812, -0.4735655188560486, 2.674196243286133, -5.359177112579346, -2.66738224029541, 0.6660683155059814, 15.44322681427002, 4.740593433380127, -3.472534418106079, 11.592567443847656, -2.0544962882995605, 1.736127495765686, -8.265326499938965, -9.30447769165039, 5.406829833984375, -1.518022894859314, -7.746612548828125, -6.089611053466797, 0.07112743705511093, -0.3490503430366516, -8.64989185333252, -9.998957633972168, -2.564845085144043, -0.5399947762489319, 2.6018123626708984, -0.3192799389362335, -1.8815255165100098, -2.0721492767333984, -3.410574436187744, -8.29980754852295, 1.483638048171997, -15.365986824035645, -8.288211822509766, 3.884779930114746, -3.4876468181610107, 7.362999439239502, 0.4657334089279175, 3.1326050758361816, 12.438895225524902, -1.8337041139602661, 4.532927989959717, 2.7264339923858643, 10.14534854888916, -6.521963596343994, 2.897155523300171, -3.392582654953003, 5.079153060913086, 7.7597246170043945, 4.677570819854736, 5.845779895782471, 2.402411460876465, 7.7071051597595215, 3.9711380004882812, -6.39003849029541, 6.12687873840332, -3.776029348373413, -11.118121147155762]}}
```
#### 7.2 Get the score between speaker audio embedding
**Note:** The response time will be slightly longer when using the client for the first time
- Command Line (Recommended)
``` bash
paddlespeech_client vector --task score --server_ip 127.0.0.1 --port 8590 --enroll 85236145389.wav --test 123456789.wav
```
* Usage:
``` bash
paddlespeech_client vector --help
```
* Arguments:
* server_ip: server ip. Default: 127.0.0.1
* port: server port. Default: 8090
* input(required): Input text to generate.
* task: the task of vector, can be use 'spk' or 'score。If get the score, this must be 'score' parameter.
* enroll: enroll audio
* test: test audio
* Output:
``` bash
[2022-05-09 10:28:40,556] [ INFO] - vector score http client start
[2022-05-09 10:28:40,556] [ INFO] - enroll audio: 85236145389.wav, test audio: 123456789.wav
[2022-05-09 10:28:40,556] [ INFO] - endpoint: http://127.0.0.1:8590/paddlespeech/vector/score
[2022-05-09 10:28:40,731] [ INFO] - The vector score is: {'success': True, 'code': 200, 'message': {'description': 'success'}, 'result': {'score': 0.4292638897895813}}
[2022-05-09 10:28:40,731] [ INFO] - The vector: None
[2022-05-09 10:28:40,731] [ INFO] - Response time 0.175514 s.
```
* Python API
``` python
from paddlespeech.server.bin.paddlespeech_client import VectorClientExecutor
vectorclient_executor = VectorClientExecutor()
res = vectorclient_executor(
input=None,
enroll_audio="85236145389.wav",
test_audio="123456789.wav",
server_ip="127.0.0.1",
port=8590,
task="score")
print(res)
```
* Output:
``` bash
[2022-05-09 10:34:54,769] [ INFO] - vector score http client start
[2022-05-09 10:34:54,771] [ INFO] - enroll audio: 85236145389.wav, test audio: 123456789.wav
[2022-05-09 10:34:54,771] [ INFO] - endpoint: http://127.0.0.1:8590/paddlespeech/vector/score
[2022-05-09 10:34:55,026] [ INFO] - The vector score is: {'success': True, 'code': 200, 'message': {'description': 'success'}, 'result': {'score': 0.4292638897895813}}
```
### 8. Punctuation prediction
**Note:** The response time will be slightly longer when using the client for the first time
- Command Line (Recommended)
``` bash
paddlespeech_client text --server_ip 127.0.0.1 --port 8090 --input "我认为跑步最重要的就是给我带来了身体健康"
```
Usage:
```bash
paddlespeech_client text --help
```
参数:
- `server_ip`: server ip. Default: 127.0.0.1
- `port`: server port. Default: 8090
- `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.
```
- Python API
```python
from paddlespeech.server.bin.paddlespeech_client import TextClientExecutor
textclient_executor = TextClientExecutor()
res = textclient_executor(
input="我认为跑步最重要的就是给我带来了身体健康",
server_ip="127.0.0.1",
port=8390,)
print(res)
```
Output:
```bash
我认为跑步最重要的就是给我带来了身体健康。
```
## Models supported by the service ## Models supported by the service
### ASR model ### ASR model
Get all models supported by the ASR service via `paddlespeech_server stats --task asr`, where static models can be used for paddle inference inference. Get all models supported by the ASR service via `paddlespeech_server stats --task asr`, where static models can be used for paddle inference inference.
@ -245,3 +405,9 @@ Get all models supported by the TTS service via `paddlespeech_server stats --tas
### CLS model ### CLS model
Get all models supported by the CLS service via `paddlespeech_server stats --task cls`, where static models can be used for paddle inference inference. Get all models supported by the CLS service via `paddlespeech_server stats --task cls`, where static models can be used for paddle inference inference.
### Vector model
Get all models supported by the TTS service via `paddlespeech_server stats --task vector`, where static models can be used for paddle inference inference.
### Text model
Get all models supported by the CLS service via `paddlespeech_server stats --task text`, where static models can be used for paddle inference inference.

160
demos/speech_server/README_cn.md
Unescape View File

@ -194,6 +194,7 @@ wget -c https://paddlespeech.bj.bcebos.com/PaddleAudio/zh.wav https://paddlespee
``` ```
### 6. CLS 客户端使用方法 ### 6. CLS 客户端使用方法
**注意：** 初次使用客户端时响应时间会略长 **注意：** 初次使用客户端时响应时间会略长
- 命令行 (推荐使用) - 命令行 (推荐使用)
``` ```
@ -240,6 +241,159 @@ wget -c https://paddlespeech.bj.bcebos.com/PaddleAudio/zh.wav https://paddlespee
``` ```
### 7. 声纹客户端使用方法
#### 7.1 提取声纹特征
注意： 初次使用客户端时响应时间会略长
* 命令行 (推荐使用)
``` bash
paddlespeech_client vector --task spk --server_ip 127.0.0.1 --port 8590 --input 85236145389.wav
```
* 使用帮助:
``` bash
paddlespeech_client vector --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。
* 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
[2022-05-08 00:18:44,249] [ INFO] - vector http client start
[2022-05-08 00:18:44,250] [ INFO] - the input audio: 85236145389.wav
[2022-05-08 00:18:44,250] [ INFO] - endpoint: http://127.0.0.1:8590/paddlespeech/vector
[2022-05-08 00:18:44,250] [ INFO] - http://127.0.0.1:8590/paddlespeech/vector
[2022-05-08 00:18:44,406] [ INFO] - The vector: {'success': True, 'code': 200, 'message': {'description': 'success'}, 'result': {'vec': [1.421751856803894, 5.626245498657227, -5.342077255249023, 1.1773887872695923, 3.3080549240112305, 1.7565933465957642, 5.167886257171631, 10.806358337402344, -3.8226819038391113, -5.614140033721924, 2.6238479614257812, -0.8072972893714905, 1.9635076522827148, -7.312870025634766, 0.011035939678549767, -9.723129272460938, 0.6619706153869629, -6.976806163787842, 10.213476181030273, 7.494769096374512, 2.9105682373046875, 3.8949244022369385, 3.799983501434326, 7.106168746948242, 16.90532875061035, -7.149388313293457, 8.733108520507812, 3.423006296157837, -4.831653594970703, -11.403363227844238, 11.232224464416504, 7.127461910247803, -4.282842636108398, 2.452359437942505, -5.130749702453613, -18.17766761779785, -2.6116831302642822, -11.000344276428223, -6.731433391571045, 1.6564682722091675, 0.7618281245231628, 1.125300407409668, -2.0838370323181152, 4.725743293762207, -8.782588005065918, -3.5398752689361572, 3.8142364025115967, 5.142068862915039, 2.1620609760284424, 4.09643030166626, -6.416214942932129, 12.747446060180664, 1.9429892301559448, -15.15294361114502, 6.417416095733643, 16.09701156616211, -9.716667175292969, -1.9920575618743896, -3.36494779586792, -1.8719440698623657, 11.567351341247559, 3.6978814601898193, 11.258262634277344, 7.442368507385254, 9.183408737182617, 4.528149127960205, -1.2417854070663452, 4.395912170410156, 6.6727728843688965, 5.88988733291626, 7.627128601074219, -0.6691966652870178, -11.889698028564453, -9.20886516571045, -7.42740535736084, -3.777663230895996, 6.917238712310791, -9.848755836486816, -2.0944676399230957, -5.1351165771484375, 0.4956451654434204, 9.317537307739258, -5.914181232452393, -1.809860348701477, -0.11738915741443634, -7.1692705154418945, -1.057827353477478, -5.721670627593994, -5.117385387420654, 16.13765525817871, -4.473617076873779, 7.6624321937561035, -0.55381840467453, 9.631585121154785, -6.470459461212158, -8.548508644104004, 4.371616840362549, -0.7970245480537415, 4.4789886474609375, -2.975860834121704, 3.2721822261810303, 2.838287830352783, 5.134591102600098, -9.19079875946045, -0.5657302737236023, -4.8745832443237305, 2.3165574073791504, -5.984319686889648, -2.1798853874206543, 0.3554139733314514, -0.3178512752056122, 9.493552207946777, 2.1144471168518066, 4.358094692230225, -12.089824676513672, 8.451693534851074, -7.925466537475586, 4.624246597290039, 4.428936958312988, 18.69200897216797, -2.6204581260681152, -5.14918851852417, -0.3582090139389038, 8.488558769226074, 4.98148775100708, -9.326835632324219, -2.2544219493865967, 6.641760349273682, 1.2119598388671875, 10.977124214172363, 16.555034637451172, 3.3238420486450195, 9.551861763000488, -1.6676981449127197, -0.7953944206237793, -8.605667114257812, -0.4735655188560486, 2.674196243286133, -5.359177112579346, -2.66738224029541, 0.6660683155059814, 15.44322681427002, 4.740593433380127, -3.472534418106079, 11.592567443847656, -2.0544962882995605, 1.736127495765686, -8.265326499938965, -9.30447769165039, 5.406829833984375, -1.518022894859314, -7.746612548828125, -6.089611053466797, 0.07112743705511093, -0.3490503430366516, -8.64989185333252, -9.998957633972168, -2.564845085144043, -0.5399947762489319, 2.6018123626708984, -0.3192799389362335, -1.8815255165100098, -2.0721492767333984, -3.410574436187744, -8.29980754852295, 1.483638048171997, -15.365986824035645, -8.288211822509766, 3.884779930114746, -3.4876468181610107, 7.362999439239502, 0.4657334089279175, 3.1326050758361816, 12.438895225524902, -1.8337041139602661, 4.532927989959717, 2.7264339923858643, 10.14534854888916, -6.521963596343994, 2.897155523300171, -3.392582654953003, 5.079153060913086, 7.7597246170043945, 4.677570819854736, 5.845779895782471, 2.402411460876465, 7.7071051597595215, 3.9711380004882812, -6.39003849029541, 6.12687873840332, -3.776029348373413, -11.118121147155762]}}
[2022-05-08 00:18:44,406] [ INFO] - Response time 0.156481 s.
```
* Python API
``` python
from paddlespeech.server.bin.paddlespeech_client import VectorClientExecutor
vectorclient_executor = VectorClientExecutor()
res = vectorclient_executor(
input="85236145389.wav",
server_ip="127.0.0.1",
port=8590,
task="spk")
print(res)
```
* 输出:
``` bash
{'success': True, 'code': 200, 'message': {'description': 'success'}, 'result': {'vec': [1.421751856803894, 5.626245498657227, -5.342077255249023, 1.1773887872695923, 3.3080549240112305, 1.7565933465957642, 5.167886257171631, 10.806358337402344, -3.8226819038391113, -5.614140033721924, 2.6238479614257812, -0.8072972893714905, 1.9635076522827148, -7.312870025634766, 0.011035939678549767, -9.723129272460938, 0.6619706153869629, -6.976806163787842, 10.213476181030273, 7.494769096374512, 2.9105682373046875, 3.8949244022369385, 3.799983501434326, 7.106168746948242, 16.90532875061035, -7.149388313293457, 8.733108520507812, 3.423006296157837, -4.831653594970703, -11.403363227844238, 11.232224464416504, 7.127461910247803, -4.282842636108398, 2.452359437942505, -5.130749702453613, -18.17766761779785, -2.6116831302642822, -11.000344276428223, -6.731433391571045, 1.6564682722091675, 0.7618281245231628, 1.125300407409668, -2.0838370323181152, 4.725743293762207, -8.782588005065918, -3.5398752689361572, 3.8142364025115967, 5.142068862915039, 2.1620609760284424, 4.09643030166626, -6.416214942932129, 12.747446060180664, 1.9429892301559448, -15.15294361114502, 6.417416095733643, 16.09701156616211, -9.716667175292969, -1.9920575618743896, -3.36494779586792, -1.8719440698623657, 11.567351341247559, 3.6978814601898193, 11.258262634277344, 7.442368507385254, 9.183408737182617, 4.528149127960205, -1.2417854070663452, 4.395912170410156, 6.6727728843688965, 5.88988733291626, 7.627128601074219, -0.6691966652870178, -11.889698028564453, -9.20886516571045, -7.42740535736084, -3.777663230895996, 6.917238712310791, -9.848755836486816, -2.0944676399230957, -5.1351165771484375, 0.4956451654434204, 9.317537307739258, -5.914181232452393, -1.809860348701477, -0.11738915741443634, -7.1692705154418945, -1.057827353477478, -5.721670627593994, -5.117385387420654, 16.13765525817871, -4.473617076873779, 7.6624321937561035, -0.55381840467453, 9.631585121154785, -6.470459461212158, -8.548508644104004, 4.371616840362549, -0.7970245480537415, 4.4789886474609375, -2.975860834121704, 3.2721822261810303, 2.838287830352783, 5.134591102600098, -9.19079875946045, -0.5657302737236023, -4.8745832443237305, 2.3165574073791504, -5.984319686889648, -2.1798853874206543, 0.3554139733314514, -0.3178512752056122, 9.493552207946777, 2.1144471168518066, 4.358094692230225, -12.089824676513672, 8.451693534851074, -7.925466537475586, 4.624246597290039, 4.428936958312988, 18.69200897216797, -2.6204581260681152, -5.14918851852417, -0.3582090139389038, 8.488558769226074, 4.98148775100708, -9.326835632324219, -2.2544219493865967, 6.641760349273682, 1.2119598388671875, 10.977124214172363, 16.555034637451172, 3.3238420486450195, 9.551861763000488, -1.6676981449127197, -0.7953944206237793, -8.605667114257812, -0.4735655188560486, 2.674196243286133, -5.359177112579346, -2.66738224029541, 0.6660683155059814, 15.44322681427002, 4.740593433380127, -3.472534418106079, 11.592567443847656, -2.0544962882995605, 1.736127495765686, -8.265326499938965, -9.30447769165039, 5.406829833984375, -1.518022894859314, -7.746612548828125, -6.089611053466797, 0.07112743705511093, -0.3490503430366516, -8.64989185333252, -9.998957633972168, -2.564845085144043, -0.5399947762489319, 2.6018123626708984, -0.3192799389362335, -1.8815255165100098, -2.0721492767333984, -3.410574436187744, -8.29980754852295, 1.483638048171997, -15.365986824035645, -8.288211822509766, 3.884779930114746, -3.4876468181610107, 7.362999439239502, 0.4657334089279175, 3.1326050758361816, 12.438895225524902, -1.8337041139602661, 4.532927989959717, 2.7264339923858643, 10.14534854888916, -6.521963596343994, 2.897155523300171, -3.392582654953003, 5.079153060913086, 7.7597246170043945, 4.677570819854736, 5.845779895782471, 2.402411460876465, 7.7071051597595215, 3.9711380004882812, -6.39003849029541, 6.12687873840332, -3.776029348373413, -11.118121147155762]}}
```
#### 7.2 音频声纹打分
注意： 初次使用客户端时响应时间会略长
* 命令行 (推荐使用)
``` bash
paddlespeech_client vector --task score --server_ip 127.0.0.1 --port 8590 --enroll 85236145389.wav --test 123456789.wav
```
* 使用帮助:
``` bash
paddlespeech_client vector --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。
* 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
[2022-05-09 10:28:40,556] [ INFO] - vector score http client start
[2022-05-09 10:28:40,556] [ INFO] - enroll audio: 85236145389.wav, test audio: 123456789.wav
[2022-05-09 10:28:40,556] [ INFO] - endpoint: http://127.0.0.1:8590/paddlespeech/vector/score
[2022-05-09 10:28:40,731] [ INFO] - The vector score is: {'success': True, 'code': 200, 'message': {'description': 'success'}, 'result': {'score': 0.4292638897895813}}
[2022-05-09 10:28:40,731] [ INFO] - The vector: None
[2022-05-09 10:28:40,731] [ INFO] - Response time 0.175514 s.
```
* Python API
``` python
from paddlespeech.server.bin.paddlespeech_client import VectorClientExecutor
vectorclient_executor = VectorClientExecutor()
res = vectorclient_executor(
input=None,
enroll_audio="85236145389.wav",
test_audio="123456789.wav",
server_ip="127.0.0.1",
port=8590,
task="score")
print(res)
```
* 输出:
``` bash
[2022-05-09 10:34:54,769] [ INFO] - vector score http client start
[2022-05-09 10:34:54,771] [ INFO] - enroll audio: 85236145389.wav, test audio: 123456789.wav
[2022-05-09 10:34:54,771] [ INFO] - endpoint: http://127.0.0.1:8590/paddlespeech/vector/score
[2022-05-09 10:34:55,026] [ INFO] - The vector score is: {'success': True, 'code': 200, 'message': {'description': 'success'}, 'result': {'score': 0.4292638897895813}}
```
### 8. 标点预测
**注意：** 初次使用客户端时响应时间会略长
- 命令行 (推荐使用)
``` bash
paddlespeech_client text --server_ip 127.0.0.1 --port 8090 --input "我认为跑步最重要的就是给我带来了身体健康"
```
使用帮助:
```bash
paddlespeech_client text --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.
```
- Python API
```python
from paddlespeech.server.bin.paddlespeech_client import TextClientExecutor
textclient_executor = TextClientExecutor()
res = textclient_executor(
input="我认为跑步最重要的就是给我带来了身体健康",
server_ip="127.0.0.1",
port=8390,)
print(res)
```
输出:
```bash
我认为跑步最重要的就是给我带来了身体健康。
```
## 服务支持的模型 ## 服务支持的模型
### ASR支持的模型 ### ASR支持的模型
@ -250,3 +404,9 @@ wget -c https://paddlespeech.bj.bcebos.com/PaddleAudio/zh.wav https://paddlespee
### CLS支持的模型 ### CLS支持的模型
通过 `paddlespeech_server stats --task cls` 获取CLS服务支持的所有模型，其中静态模型可用于 paddle inference 推理。 通过 `paddlespeech_server stats --task cls` 获取CLS服务支持的所有模型，其中静态模型可用于 paddle inference 推理。
### Vector支持的模型
通过 `paddlespeech_server stats --task vector` 获取Vector服务支持的所有模型。
### Text支持的模型
通过 `paddlespeech_server stats --task text` 获取Text服务支持的所有模型。

25
demos/speech_server/conf/application.yaml
Unescape View File

@ -9,7 +9,7 @@ port: 8090
# The task format in the engin_list is: <speech task>_<engine type> # The task format in the engin_list is: <speech task>_<engine type>
# task choices = ['asr_python', 'asr_inference', 'tts_python', 'tts_inference', 'cls_python', 'cls_inference'] # task choices = ['asr_python', 'asr_inference', 'tts_python', 'tts_inference', 'cls_python', 'cls_inference']
protocol: 'http' protocol: 'http'
engine_list: ['asr_python', 'tts_python', 'cls_python'] engine_list: ['asr_python', 'tts_python', 'cls_python', 'text_python', 'vector_python']
################################################################################# #################################################################################
@ -135,3 +135,26 @@ cls_inference:
glog_info: False # True -> print glog glog_info: False # True -> print glog
summary: True # False -> do not show predictor config summary: True # False -> do not show predictor config
################################### Text #########################################
################### text task: punc; engine_type: python #######################
text_python:
task: punc
model_type: 'ernie_linear_p3_wudao'
lang: 'zh'
sample_rate: 16000
cfg_path: # [optional]
ckpt_path: # [optional]
vocab_file: # [optional]
device: # set 'gpu:id' or 'cpu'
################################### Vector ######################################
################### Vector task: spk; engine_type: python #######################
vector_python:
task: spk
model_type: 'ecapatdnn_voxceleb12'
sample_rate: 16000
cfg_path: # [optional]
ckpt_path: # [optional]
device: # set 'gpu:id' or 'cpu'

46
demos/streaming_asr_server/conf/ws_conformer_wenetspeech_application.yaml
Unescape View File

@ -0,0 +1,46 @@
# This is the parameter configuration file for PaddleSpeech Serving.
#################################################################################
# SERVER SETTING #
#################################################################################
host: 0.0.0.0
port: 8090
# The task format in the engin_list is: <speech task>_<engine type>
# task choices = ['asr_online']
# protocol = ['websocket'] (only one can be selected).
# websocket only support online engine type.
protocol: 'websocket'
engine_list: ['asr_online']
#################################################################################
# ENGINE CONFIG #
#################################################################################
################################### ASR #########################################
################### speech task: asr; engine_type: online #######################
asr_online:
model_type: 'conformer_online_wenetspeech'
am_model: # the pdmodel file of am static model [optional]
am_params: # the pdiparams file of am static model [optional]
lang: 'zh'
sample_rate: 16000
cfg_path:
decode_method:
force_yes: True
device: 'cpu' # cpu or gpu:id
decode_method: "attention_rescoring"
am_predictor_conf:
device: # set 'gpu:id' or 'cpu'
switch_ir_optim: True
glog_info: False # True -> print glog
summary: True # False -> do not show predictor config
chunk_buffer_conf:
window_n: 7 # frame
shift_n: 4 # frame
window_ms: 25 # ms
shift_ms: 10 # ms
sample_rate: 16000
sample_width: 2

21
paddlespeech/server/README.md
Unescape View File

@ -63,3 +63,24 @@ paddlespeech_server start --config_file conf/tts_online_application.yaml
``` ```
paddlespeech_client tts_online --server_ip 127.0.0.1 --port 8092 --input "您好，欢迎使用百度飞桨深度学习框架！" --output output.wav paddlespeech_client tts_online --server_ip 127.0.0.1 --port 8092 --input "您好，欢迎使用百度飞桨深度学习框架！" --output output.wav
``` ```
## Speaker Verification
### Lanuch speaker verification server
```
paddlespeech_server start --config_file conf/vector_application.yaml
```
### Extract speaker embedding from aduio
```
paddlespeech_client vector --task spk --server_ip 127.0.0.1 --port 8090 --input 85236145389.wav
```
### Get score with speaker audio embedding
```
paddlespeech_client vector --task score --server_ip 127.0.0.1 --port 8090 --enroll 123456789.wav --test 85236145389.wav
```

18
paddlespeech/server/engine/asr/online/pretrained_models.py
Unescape View File

@ -49,4 +49,22 @@ pretrained_models = {
'lm_md5': 'lm_md5':
'29e02312deb2e59b3c8686c7966d4fe3' '29e02312deb2e59b3c8686c7966d4fe3'
}, },
"conformer_online_wenetspeech-zh-16k": {
'url':
'https://paddlespeech.bj.bcebos.com/s2t/wenetspeech/asr1/asr1_chunk_conformer_wenetspeech_ckpt_1.0.0a.model.tar.gz',
'md5':
'b8c02632b04da34aca88459835be54a6',
'cfg_path':
'model.yaml',
'ckpt_path':
'exp/chunk_conformer/checkpoints/avg_10',
'model':
'exp/chunk_conformer/checkpoints/avg_10.pdparams',
'params':
'exp/chunk_conformer/checkpoints/avg_10.pdparams',
'lm_url':
'',
'lm_md5':
'',
},
} }

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