diff --git a/demos/speaker_verification/README.md b/demos/speaker_verification/README.md index 8739d402..71fbbfe0 100644 --- a/demos/speaker_verification/README.md +++ b/demos/speaker_verification/README.md @@ -38,6 +38,7 @@ wget -c https://paddlespeech.bj.bcebos.com/vector/audio/85236145389.wav ``` Arguments: - `input`(required): Audio file to recognize. + - `task` (required): Specify `vector` task. Default `spk`。 - `model`: Model type of vector task. Default: `ecapatdnn_voxceleb12`. - `sample_rate`: Sample rate of the model. Default: `16000`. - `config`: Config of vector task. Use pretrained model when it is None. Default: `None`. @@ -47,45 +48,45 @@ wget -c https://paddlespeech.bj.bcebos.com/vector/audio/85236145389.wav Output: ```bash - demo [ -5.749211 9.505463 -8.200284 -5.2075014 5.3940268 - -3.04878 1.611095 10.127234 -10.534177 -15.821609 - 1.2032688 -0.35080156 1.2629458 -12.643498 -2.5758228 - -11.343508 2.3385992 -8.719341 14.213509 15.404744 - -0.39327756 6.338786 2.688887 8.7104025 17.469526 - -8.77959 7.0576906 4.648855 -1.3089896 -23.294737 - 8.013747 13.891729 -9.926753 5.655307 -5.9422326 - -22.842539 0.6293588 -18.46266 -10.811862 9.8192625 - 3.0070958 3.8072643 -2.3861165 3.0821571 -14.739942 - 1.7594414 -0.6485091 4.485623 2.0207152 7.264915 - -6.40137 23.63524 2.9711294 -22.708025 9.93719 - 20.354511 -10.324688 -0.700492 -8.783211 -5.27593 - 15.999649 3.3004563 12.747926 15.429879 4.7849145 - 5.6699696 -2.3826702 10.605882 3.9112158 3.1500628 - 15.859915 -2.1832209 -23.908653 -6.4799504 -4.5365124 - -9.224193 14.568347 -10.568833 4.982321 -4.342062 - 0.0914714 12.645902 -5.74285 -3.2141201 -2.7173362 - -6.680575 0.4757669 -5.035051 -6.7964664 16.865469 - -11.54324 7.681869 0.44475392 9.708182 -8.932846 - 0.4123232 -4.361452 1.3948607 9.511665 0.11667654 - 2.9079323 6.049952 9.275183 -18.078873 6.2983274 - -0.7500531 -2.725033 -7.6027865 3.3404543 2.990815 - 4.010979 11.000591 -2.8873312 7.1352735 -16.79663 - 18.495346 -14.293832 7.89578 2.2714825 22.976387 - -4.875734 -3.0836344 -2.9999814 13.751918 6.448228 - -11.924197 2.171869 2.0423572 -6.173772 10.778437 - 25.77281 -4.9495463 14.57806 0.3044315 2.6132357 - -7.591999 -2.076944 9.025118 1.7834753 -3.1799617 - -4.9401326 23.465864 5.1685796 -9.018578 9.037825 - -4.4150195 6.859591 -12.274467 -0.88911164 5.186309 - -3.9988663 -13.638606 -9.925445 -0.06329413 -3.6709652 - -12.397416 -12.719869 -1.395601 2.1150916 5.7381287 - -4.4691963 -3.82819 -0.84233856 -1.1604277 -13.490127 - 8.731719 -20.778936 -11.495662 5.8033476 -4.752041 - 10.833007 -6.717991 4.504732 13.4244375 1.1306485 - 7.3435574 1.400918 14.704036 -9.501399 7.2315617 - -6.417456 1.3333273 11.872697 -0.30664724 8.8845 - 6.5569253 4.7948146 0.03662816 -8.704245 6.224871 - -3.2701402 -11.508579 ] + demo [ 1.4217498 5.626253 -5.342073 1.1773866 3.308055 + 1.756596 5.167894 10.80636 -3.8226728 -5.6141334 + 2.623845 -0.8072968 1.9635103 -7.3128724 0.01103897 + -9.723131 0.6619743 -6.976803 10.213478 7.494748 + 2.9105635 3.8949256 3.7999806 7.1061673 16.905321 + -7.1493764 8.733103 3.4230042 -4.831653 -11.403367 + 11.232214 7.1274667 -4.2828417 2.452362 -5.130748 + -18.177666 -2.6116815 -11.000337 -6.7314315 1.6564683 + 0.7618269 1.1253023 -2.083836 4.725744 -8.782597 + -3.539873 3.814236 5.1420674 2.162061 4.096431 + -6.4162116 12.747448 1.9429878 -15.152943 6.417416 + 16.097002 -9.716668 -1.9920526 -3.3649497 -1.871939 + 11.567354 3.69788 11.258265 7.442363 9.183411 + 4.5281515 -1.2417862 4.3959084 6.6727695 5.8898783 + 7.627124 -0.66919386 -11.889693 -9.208865 -7.4274073 + -3.7776625 6.917234 -9.848748 -2.0944717 -5.135116 + 0.49563864 9.317534 -5.9141874 -1.8098574 -0.11738578 + -7.169265 -1.0578263 -5.7216787 -5.1173844 16.137651 + -4.473626 7.6624317 -0.55381083 9.631587 -6.4704556 + -8.548508 4.3716145 -0.79702514 4.478997 -2.9758704 + 3.272176 2.8382776 5.134597 -9.190781 -0.5657382 + -4.8745747 2.3165567 -5.984303 -2.1798875 0.35541576 + -0.31784213 9.493548 2.1144536 4.358092 -12.089823 + 8.451689 -7.925461 4.6242585 4.4289427 18.692003 + -2.6204622 -5.149185 -0.35821092 8.488551 4.981496 + -9.32683 -2.2544234 6.6417594 1.2119585 10.977129 + 16.555033 3.3238444 9.551863 -1.6676947 -0.79539716 + -8.605674 -0.47356385 2.6741948 -5.359179 -2.6673796 + 0.66607 15.443222 4.740594 -3.4725387 11.592567 + -2.054497 1.7361217 -8.265324 -9.30447 5.4068313 + -1.5180256 -7.746615 -6.089606 0.07112726 -0.34904733 + -8.649895 -9.998958 -2.564841 -0.53999114 2.601808 + -0.31927416 -1.8815292 -2.07215 -3.4105783 -8.2998085 + 1.483641 -15.365992 -8.288208 3.8847756 -3.4876456 + 7.3629923 0.4657332 3.132599 12.438889 -1.8337058 + 4.532936 2.7264361 10.145339 -6.521951 2.897153 + -3.3925855 5.079156 7.759716 4.677565 5.8457737 + 2.402413 7.7071047 3.9711342 -6.390043 6.1268735 + -3.7760346 -11.118123 ] ``` - Python API @@ -97,56 +98,57 @@ wget -c https://paddlespeech.bj.bcebos.com/vector/audio/85236145389.wav audio_emb = vector_executor( model='ecapatdnn_voxceleb12', sample_rate=16000, - config=None, + config=None, # Set `config` and `ckpt_path` to None to use pretrained model. ckpt_path=None, audio_file='./85236145389.wav', - force_yes=False, device=paddle.get_device()) print('Audio embedding Result: \n{}'.format(audio_emb)) ``` - Output: + Output： + ```bash # Vector Result: - [ -5.749211 9.505463 -8.200284 -5.2075014 5.3940268 - -3.04878 1.611095 10.127234 -10.534177 -15.821609 - 1.2032688 -0.35080156 1.2629458 -12.643498 -2.5758228 - -11.343508 2.3385992 -8.719341 14.213509 15.404744 - -0.39327756 6.338786 2.688887 8.7104025 17.469526 - -8.77959 7.0576906 4.648855 -1.3089896 -23.294737 - 8.013747 13.891729 -9.926753 5.655307 -5.9422326 - -22.842539 0.6293588 -18.46266 -10.811862 9.8192625 - 3.0070958 3.8072643 -2.3861165 3.0821571 -14.739942 - 1.7594414 -0.6485091 4.485623 2.0207152 7.264915 - -6.40137 23.63524 2.9711294 -22.708025 9.93719 - 20.354511 -10.324688 -0.700492 -8.783211 -5.27593 - 15.999649 3.3004563 12.747926 15.429879 4.7849145 - 5.6699696 -2.3826702 10.605882 3.9112158 3.1500628 - 15.859915 -2.1832209 -23.908653 -6.4799504 -4.5365124 - -9.224193 14.568347 -10.568833 4.982321 -4.342062 - 0.0914714 12.645902 -5.74285 -3.2141201 -2.7173362 - -6.680575 0.4757669 -5.035051 -6.7964664 16.865469 - -11.54324 7.681869 0.44475392 9.708182 -8.932846 - 0.4123232 -4.361452 1.3948607 9.511665 0.11667654 - 2.9079323 6.049952 9.275183 -18.078873 6.2983274 - -0.7500531 -2.725033 -7.6027865 3.3404543 2.990815 - 4.010979 11.000591 -2.8873312 7.1352735 -16.79663 - 18.495346 -14.293832 7.89578 2.2714825 22.976387 - -4.875734 -3.0836344 -2.9999814 13.751918 6.448228 - -11.924197 2.171869 2.0423572 -6.173772 10.778437 - 25.77281 -4.9495463 14.57806 0.3044315 2.6132357 - -7.591999 -2.076944 9.025118 1.7834753 -3.1799617 - -4.9401326 23.465864 5.1685796 -9.018578 9.037825 - -4.4150195 6.859591 -12.274467 -0.88911164 5.186309 - -3.9988663 -13.638606 -9.925445 -0.06329413 -3.6709652 - -12.397416 -12.719869 -1.395601 2.1150916 5.7381287 - -4.4691963 -3.82819 -0.84233856 -1.1604277 -13.490127 - 8.731719 -20.778936 -11.495662 5.8033476 -4.752041 - 10.833007 -6.717991 4.504732 13.4244375 1.1306485 - 7.3435574 1.400918 14.704036 -9.501399 7.2315617 - -6.417456 1.3333273 11.872697 -0.30664724 8.8845 - 6.5569253 4.7948146 0.03662816 -8.704245 6.224871 - -3.2701402 -11.508579 ] + Audio embedding Result: + [ 1.4217498 5.626253 -5.342073 1.1773866 3.308055 + 1.756596 5.167894 10.80636 -3.8226728 -5.6141334 + 2.623845 -0.8072968 1.9635103 -7.3128724 0.01103897 + -9.723131 0.6619743 -6.976803 10.213478 7.494748 + 2.9105635 3.8949256 3.7999806 7.1061673 16.905321 + -7.1493764 8.733103 3.4230042 -4.831653 -11.403367 + 11.232214 7.1274667 -4.2828417 2.452362 -5.130748 + -18.177666 -2.6116815 -11.000337 -6.7314315 1.6564683 + 0.7618269 1.1253023 -2.083836 4.725744 -8.782597 + -3.539873 3.814236 5.1420674 2.162061 4.096431 + -6.4162116 12.747448 1.9429878 -15.152943 6.417416 + 16.097002 -9.716668 -1.9920526 -3.3649497 -1.871939 + 11.567354 3.69788 11.258265 7.442363 9.183411 + 4.5281515 -1.2417862 4.3959084 6.6727695 5.8898783 + 7.627124 -0.66919386 -11.889693 -9.208865 -7.4274073 + -3.7776625 6.917234 -9.848748 -2.0944717 -5.135116 + 0.49563864 9.317534 -5.9141874 -1.8098574 -0.11738578 + -7.169265 -1.0578263 -5.7216787 -5.1173844 16.137651 + -4.473626 7.6624317 -0.55381083 9.631587 -6.4704556 + -8.548508 4.3716145 -0.79702514 4.478997 -2.9758704 + 3.272176 2.8382776 5.134597 -9.190781 -0.5657382 + -4.8745747 2.3165567 -5.984303 -2.1798875 0.35541576 + -0.31784213 9.493548 2.1144536 4.358092 -12.089823 + 8.451689 -7.925461 4.6242585 4.4289427 18.692003 + -2.6204622 -5.149185 -0.35821092 8.488551 4.981496 + -9.32683 -2.2544234 6.6417594 1.2119585 10.977129 + 16.555033 3.3238444 9.551863 -1.6676947 -0.79539716 + -8.605674 -0.47356385 2.6741948 -5.359179 -2.6673796 + 0.66607 15.443222 4.740594 -3.4725387 11.592567 + -2.054497 1.7361217 -8.265324 -9.30447 5.4068313 + -1.5180256 -7.746615 -6.089606 0.07112726 -0.34904733 + -8.649895 -9.998958 -2.564841 -0.53999114 2.601808 + -0.31927416 -1.8815292 -2.07215 -3.4105783 -8.2998085 + 1.483641 -15.365992 -8.288208 3.8847756 -3.4876456 + 7.3629923 0.4657332 3.132599 12.438889 -1.8337058 + 4.532936 2.7264361 10.145339 -6.521951 2.897153 + -3.3925855 5.079156 7.759716 4.677565 5.8457737 + 2.402413 7.7071047 3.9711342 -6.390043 6.1268735 + -3.7760346 -11.118123 ] ``` ### 4.Pretrained Models diff --git a/demos/speaker_verification/README_cn.md b/demos/speaker_verification/README_cn.md index fe8949b3..8b542b20 100644 --- a/demos/speaker_verification/README_cn.md +++ b/demos/speaker_verification/README_cn.md @@ -37,6 +37,7 @@ wget -c https://paddlespeech.bj.bcebos.com/vector/audio/85236145389.wav ``` 参数： - `input`(必须输入)：用于识别的音频文件。 + - `task` (必须输入): 用于指定 `vector` 处理的具体任务，默认是 `spk`。 - `model`：声纹任务的模型，默认值：`ecapatdnn_voxceleb12`。 - `sample_rate`：音频采样率，默认值：`16000`。 - `config`：声纹任务的参数文件，若不设置则使用预训练模型中的默认配置，默认值：`None`。 @@ -45,45 +46,45 @@ wget -c https://paddlespeech.bj.bcebos.com/vector/audio/85236145389.wav 输出： ```bash - demo [ -5.749211 9.505463 -8.200284 -5.2075014 5.3940268 - -3.04878 1.611095 10.127234 -10.534177 -15.821609 - 1.2032688 -0.35080156 1.2629458 -12.643498 -2.5758228 - -11.343508 2.3385992 -8.719341 14.213509 15.404744 - -0.39327756 6.338786 2.688887 8.7104025 17.469526 - -8.77959 7.0576906 4.648855 -1.3089896 -23.294737 - 8.013747 13.891729 -9.926753 5.655307 -5.9422326 - -22.842539 0.6293588 -18.46266 -10.811862 9.8192625 - 3.0070958 3.8072643 -2.3861165 3.0821571 -14.739942 - 1.7594414 -0.6485091 4.485623 2.0207152 7.264915 - -6.40137 23.63524 2.9711294 -22.708025 9.93719 - 20.354511 -10.324688 -0.700492 -8.783211 -5.27593 - 15.999649 3.3004563 12.747926 15.429879 4.7849145 - 5.6699696 -2.3826702 10.605882 3.9112158 3.1500628 - 15.859915 -2.1832209 -23.908653 -6.4799504 -4.5365124 - -9.224193 14.568347 -10.568833 4.982321 -4.342062 - 0.0914714 12.645902 -5.74285 -3.2141201 -2.7173362 - -6.680575 0.4757669 -5.035051 -6.7964664 16.865469 - -11.54324 7.681869 0.44475392 9.708182 -8.932846 - 0.4123232 -4.361452 1.3948607 9.511665 0.11667654 - 2.9079323 6.049952 9.275183 -18.078873 6.2983274 - -0.7500531 -2.725033 -7.6027865 3.3404543 2.990815 - 4.010979 11.000591 -2.8873312 7.1352735 -16.79663 - 18.495346 -14.293832 7.89578 2.2714825 22.976387 - -4.875734 -3.0836344 -2.9999814 13.751918 6.448228 - -11.924197 2.171869 2.0423572 -6.173772 10.778437 - 25.77281 -4.9495463 14.57806 0.3044315 2.6132357 - -7.591999 -2.076944 9.025118 1.7834753 -3.1799617 - -4.9401326 23.465864 5.1685796 -9.018578 9.037825 - -4.4150195 6.859591 -12.274467 -0.88911164 5.186309 - -3.9988663 -13.638606 -9.925445 -0.06329413 -3.6709652 - -12.397416 -12.719869 -1.395601 2.1150916 5.7381287 - -4.4691963 -3.82819 -0.84233856 -1.1604277 -13.490127 - 8.731719 -20.778936 -11.495662 5.8033476 -4.752041 - 10.833007 -6.717991 4.504732 13.4244375 1.1306485 - 7.3435574 1.400918 14.704036 -9.501399 7.2315617 - -6.417456 1.3333273 11.872697 -0.30664724 8.8845 - 6.5569253 4.7948146 0.03662816 -8.704245 6.224871 - -3.2701402 -11.508579 ] + demo [ 1.4217498 5.626253 -5.342073 1.1773866 3.308055 + 1.756596 5.167894 10.80636 -3.8226728 -5.6141334 + 2.623845 -0.8072968 1.9635103 -7.3128724 0.01103897 + -9.723131 0.6619743 -6.976803 10.213478 7.494748 + 2.9105635 3.8949256 3.7999806 7.1061673 16.905321 + -7.1493764 8.733103 3.4230042 -4.831653 -11.403367 + 11.232214 7.1274667 -4.2828417 2.452362 -5.130748 + -18.177666 -2.6116815 -11.000337 -6.7314315 1.6564683 + 0.7618269 1.1253023 -2.083836 4.725744 -8.782597 + -3.539873 3.814236 5.1420674 2.162061 4.096431 + -6.4162116 12.747448 1.9429878 -15.152943 6.417416 + 16.097002 -9.716668 -1.9920526 -3.3649497 -1.871939 + 11.567354 3.69788 11.258265 7.442363 9.183411 + 4.5281515 -1.2417862 4.3959084 6.6727695 5.8898783 + 7.627124 -0.66919386 -11.889693 -9.208865 -7.4274073 + -3.7776625 6.917234 -9.848748 -2.0944717 -5.135116 + 0.49563864 9.317534 -5.9141874 -1.8098574 -0.11738578 + -7.169265 -1.0578263 -5.7216787 -5.1173844 16.137651 + -4.473626 7.6624317 -0.55381083 9.631587 -6.4704556 + -8.548508 4.3716145 -0.79702514 4.478997 -2.9758704 + 3.272176 2.8382776 5.134597 -9.190781 -0.5657382 + -4.8745747 2.3165567 -5.984303 -2.1798875 0.35541576 + -0.31784213 9.493548 2.1144536 4.358092 -12.089823 + 8.451689 -7.925461 4.6242585 4.4289427 18.692003 + -2.6204622 -5.149185 -0.35821092 8.488551 4.981496 + -9.32683 -2.2544234 6.6417594 1.2119585 10.977129 + 16.555033 3.3238444 9.551863 -1.6676947 -0.79539716 + -8.605674 -0.47356385 2.6741948 -5.359179 -2.6673796 + 0.66607 15.443222 4.740594 -3.4725387 11.592567 + -2.054497 1.7361217 -8.265324 -9.30447 5.4068313 + -1.5180256 -7.746615 -6.089606 0.07112726 -0.34904733 + -8.649895 -9.998958 -2.564841 -0.53999114 2.601808 + -0.31927416 -1.8815292 -2.07215 -3.4105783 -8.2998085 + 1.483641 -15.365992 -8.288208 3.8847756 -3.4876456 + 7.3629923 0.4657332 3.132599 12.438889 -1.8337058 + 4.532936 2.7264361 10.145339 -6.521951 2.897153 + -3.3925855 5.079156 7.759716 4.677565 5.8457737 + 2.402413 7.7071047 3.9711342 -6.390043 6.1268735 + -3.7760346 -11.118123 ] ``` - Python API @@ -98,7 +99,6 @@ wget -c https://paddlespeech.bj.bcebos.com/vector/audio/85236145389.wav config=None, # Set `config` and `ckpt_path` to None to use pretrained model. ckpt_path=None, audio_file='./85236145389.wav', - force_yes=False, device=paddle.get_device()) print('Audio embedding Result: \n{}'.format(audio_emb)) ``` @@ -106,45 +106,46 @@ wget -c https://paddlespeech.bj.bcebos.com/vector/audio/85236145389.wav 输出： ```bash # Vector Result: - [ -5.749211 9.505463 -8.200284 -5.2075014 5.3940268 - -3.04878 1.611095 10.127234 -10.534177 -15.821609 - 1.2032688 -0.35080156 1.2629458 -12.643498 -2.5758228 - -11.343508 2.3385992 -8.719341 14.213509 15.404744 - -0.39327756 6.338786 2.688887 8.7104025 17.469526 - -8.77959 7.0576906 4.648855 -1.3089896 -23.294737 - 8.013747 13.891729 -9.926753 5.655307 -5.9422326 - -22.842539 0.6293588 -18.46266 -10.811862 9.8192625 - 3.0070958 3.8072643 -2.3861165 3.0821571 -14.739942 - 1.7594414 -0.6485091 4.485623 2.0207152 7.264915 - -6.40137 23.63524 2.9711294 -22.708025 9.93719 - 20.354511 -10.324688 -0.700492 -8.783211 -5.27593 - 15.999649 3.3004563 12.747926 15.429879 4.7849145 - 5.6699696 -2.3826702 10.605882 3.9112158 3.1500628 - 15.859915 -2.1832209 -23.908653 -6.4799504 -4.5365124 - -9.224193 14.568347 -10.568833 4.982321 -4.342062 - 0.0914714 12.645902 -5.74285 -3.2141201 -2.7173362 - -6.680575 0.4757669 -5.035051 -6.7964664 16.865469 - -11.54324 7.681869 0.44475392 9.708182 -8.932846 - 0.4123232 -4.361452 1.3948607 9.511665 0.11667654 - 2.9079323 6.049952 9.275183 -18.078873 6.2983274 - -0.7500531 -2.725033 -7.6027865 3.3404543 2.990815 - 4.010979 11.000591 -2.8873312 7.1352735 -16.79663 - 18.495346 -14.293832 7.89578 2.2714825 22.976387 - -4.875734 -3.0836344 -2.9999814 13.751918 6.448228 - -11.924197 2.171869 2.0423572 -6.173772 10.778437 - 25.77281 -4.9495463 14.57806 0.3044315 2.6132357 - -7.591999 -2.076944 9.025118 1.7834753 -3.1799617 - -4.9401326 23.465864 5.1685796 -9.018578 9.037825 - -4.4150195 6.859591 -12.274467 -0.88911164 5.186309 - -3.9988663 -13.638606 -9.925445 -0.06329413 -3.6709652 - -12.397416 -12.719869 -1.395601 2.1150916 5.7381287 - -4.4691963 -3.82819 -0.84233856 -1.1604277 -13.490127 - 8.731719 -20.778936 -11.495662 5.8033476 -4.752041 - 10.833007 -6.717991 4.504732 13.4244375 1.1306485 - 7.3435574 1.400918 14.704036 -9.501399 7.2315617 - -6.417456 1.3333273 11.872697 -0.30664724 8.8845 - 6.5569253 4.7948146 0.03662816 -8.704245 6.224871 - -3.2701402 -11.508579 ] + Audio embedding Result: + [ 1.4217498 5.626253 -5.342073 1.1773866 3.308055 + 1.756596 5.167894 10.80636 -3.8226728 -5.6141334 + 2.623845 -0.8072968 1.9635103 -7.3128724 0.01103897 + -9.723131 0.6619743 -6.976803 10.213478 7.494748 + 2.9105635 3.8949256 3.7999806 7.1061673 16.905321 + -7.1493764 8.733103 3.4230042 -4.831653 -11.403367 + 11.232214 7.1274667 -4.2828417 2.452362 -5.130748 + -18.177666 -2.6116815 -11.000337 -6.7314315 1.6564683 + 0.7618269 1.1253023 -2.083836 4.725744 -8.782597 + -3.539873 3.814236 5.1420674 2.162061 4.096431 + -6.4162116 12.747448 1.9429878 -15.152943 6.417416 + 16.097002 -9.716668 -1.9920526 -3.3649497 -1.871939 + 11.567354 3.69788 11.258265 7.442363 9.183411 + 4.5281515 -1.2417862 4.3959084 6.6727695 5.8898783 + 7.627124 -0.66919386 -11.889693 -9.208865 -7.4274073 + -3.7776625 6.917234 -9.848748 -2.0944717 -5.135116 + 0.49563864 9.317534 -5.9141874 -1.8098574 -0.11738578 + -7.169265 -1.0578263 -5.7216787 -5.1173844 16.137651 + -4.473626 7.6624317 -0.55381083 9.631587 -6.4704556 + -8.548508 4.3716145 -0.79702514 4.478997 -2.9758704 + 3.272176 2.8382776 5.134597 -9.190781 -0.5657382 + -4.8745747 2.3165567 -5.984303 -2.1798875 0.35541576 + -0.31784213 9.493548 2.1144536 4.358092 -12.089823 + 8.451689 -7.925461 4.6242585 4.4289427 18.692003 + -2.6204622 -5.149185 -0.35821092 8.488551 4.981496 + -9.32683 -2.2544234 6.6417594 1.2119585 10.977129 + 16.555033 3.3238444 9.551863 -1.6676947 -0.79539716 + -8.605674 -0.47356385 2.6741948 -5.359179 -2.6673796 + 0.66607 15.443222 4.740594 -3.4725387 11.592567 + -2.054497 1.7361217 -8.265324 -9.30447 5.4068313 + -1.5180256 -7.746615 -6.089606 0.07112726 -0.34904733 + -8.649895 -9.998958 -2.564841 -0.53999114 2.601808 + -0.31927416 -1.8815292 -2.07215 -3.4105783 -8.2998085 + 1.483641 -15.365992 -8.288208 3.8847756 -3.4876456 + 7.3629923 0.4657332 3.132599 12.438889 -1.8337058 + 4.532936 2.7264361 10.145339 -6.521951 2.897153 + -3.3925855 5.079156 7.759716 4.677565 5.8457737 + 2.402413 7.7071047 3.9711342 -6.390043 6.1268735 + -3.7760346 -11.118123 ] ``` ### 4.预训练模型 diff --git a/demos/speaker_verification/run.sh b/demos/speaker_verification/run.sh index 856886d3..23ca8eb4 100644 --- a/demos/speaker_verification/run.sh +++ b/demos/speaker_verification/run.sh @@ -2,5 +2,5 @@ wget -c https://paddlespeech.bj.bcebos.com/vector/audio/85236145389.wav -# asr -paddlespeech vector --task spk --input ./85236145389.wav \ No newline at end of file +# vector +paddlespeech vector --task spk --input ./85236145389.wav diff --git a/docs/source/released_model.md b/docs/source/released_model.md index 9a423e03..48ceaf84 100644 --- a/docs/source/released_model.md +++ b/docs/source/released_model.md @@ -80,7 +80,7 @@ PANN | ESC-50 |[pann-esc50](../../examples/esc50/cls0)|[esc50_cnn6.tar.gz](https Model Type | Dataset| Example Link | Pretrained Models | Static Models :-------------:| :------------:| :-----: | :-----: | :-----: -PANN | VoxCeleb| [voxceleb_ecapatdnn](https://github.com/PaddlePaddle/PaddleSpeech/tree/develop/examples/voxceleb/sv0) | [ecapatdnn.tar.gz](https://paddlespeech.bj.bcebos.com/vector/voxceleb/sv0_ecapa_tdnn_voxceleb12_ckpt_0_1_1.tar.gz) | - +PANN | VoxCeleb| [voxceleb_ecapatdnn](https://github.com/PaddlePaddle/PaddleSpeech/tree/develop/examples/voxceleb/sv0) | [ecapatdnn.tar.gz](https://paddlespeech.bj.bcebos.com/vector/voxceleb/sv0_ecapa_tdnn_voxceleb12_ckpt_0_2_0.tar.gz) | - ## Punctuation Restoration Models Model Type | Dataset| Example Link | Pretrained Models diff --git a/examples/voxceleb/sv0/RESULT.md b/examples/voxceleb/sv0/RESULT.md index c37bcece..3a3f67d0 100644 --- a/examples/voxceleb/sv0/RESULT.md +++ b/examples/voxceleb/sv0/RESULT.md @@ -4,4 +4,4 @@ | Model | Number of Params | Release | Config | dim | Test set | Cosine | Cosine + S-Norm | | --- | --- | --- | --- | --- | --- | --- | ---- | -| ECAPA-TDNN | 85M | 0.1.1 | conf/ecapa_tdnn.yaml |192 | test | 1.15 | 1.06 | +| ECAPA-TDNN | 85M | 0.2.0 | conf/ecapa_tdnn.yaml |192 | test | 1.02 | 0.95 | diff --git a/paddlespeech/cli/vector/infer.py b/paddlespeech/cli/vector/infer.py index 175a9723..52f4f207 100644 --- a/paddlespeech/cli/vector/infer.py +++ b/paddlespeech/cli/vector/infer.py @@ -42,9 +42,9 @@ pretrained_models = { # "paddlespeech vector --task spk --model ecapatdnn_voxceleb12-16k --sr 16000 --input ./input.wav" "ecapatdnn_voxceleb12-16k": { 'url': - 'https://paddlespeech.bj.bcebos.com/vector/voxceleb/sv0_ecapa_tdnn_voxceleb12_ckpt_0_1_1.tar.gz', + 'https://paddlespeech.bj.bcebos.com/vector/voxceleb/sv0_ecapa_tdnn_voxceleb12_ckpt_0_2_0.tar.gz', 'md5': - 'a1c0dba7d4de997187786ff517d5b4ec', + 'cc33023c54ab346cd318408f43fcaf95', 'cfg_path': 'conf/model.yaml', # the yaml config path 'ckpt_path':