OpenSpeaker is a completely independent and open source speaker recognition project. It provides the entire process of speaker recognition including data preparation, model training, multi-platform deployment and model optimization.
git clone https://github.com/zycv/OpenSpeaker.gitcd OpenSpeaker && mkdir build && cd build && cmake .. && cmake --build . -j8GLOG_logtostderr=1 ./voiceprint_main Then you will see output like this:
I1010 00:04:44.024065 5598 voiceprint_main.cc:107]
Enroll wav embedding:-0.000429691 -43.0401 4.34895 -5.0006 -37.4051 29.0244 25.5545 0.310511 -7.27563 22.3967 0.809033 38.1637 -35.2139 10.3848 2.01294 10.3652 -33.9101 27.9782 4.02987 11.04 -35.7037 29.3087 5.22847 10.328 25.5269 12.7381 3.3835 14.3239 8.97036 19.8363 -0.410791 21.3439 21.0263 -3.17396 -4.10953 8.02122 19.2493 22.9025 -4.43258 -2.36184 35.7907 -3.819 -8.07737 16.0546 -4.59325 29.6196 2.62565 22.2861 -0.0329346 9.01507 -0.003556 -0.44748 -23.2599 8.75573 -22.7237 5.64375 -15.553 27.0606 -1.29388 21.1305 -29.6681 -19.7094 1.61875 -0.00355155 8.97268 20.0471 -3.87054 1.85049 -48.2718 -3.76629e-05 16.503 -14.0614 -27.3728 6.75437 7.99673 -24.249 19.2107 -1.53355 15.0827 0.488096 8.42653 3.9248 22.3116 -2.30652 0.241701 7.35245 -0.222364 19.3998 13.2346 3.91667 -14.5992 -26.711 9.30076 -0.00933527 -20.3823 -0.017337 -4.87047e-06 -20.5478 12.8254 -31.0729 ...I1010 00:04:44.024065 5598 voiceprint_main.cc:107]
Test wav embedding:-0.000517501 -47.1283 7.99776 -5.38489 -36.4123 29.9109 21.3303 0.420559 -8.42374 21.639 1.02079 33.6529 -36.7717 10.2539 2.00366 3.71844 -35.5568 22.5469 8.54491 6.42058 -31.3658 27.0976 3.81696 14.9781 29.1551 11.4731 3.96022 16.805 12.1343 20.7819 -0.375162 35.5286 14.7085 -3.60218 -4.69037 3.30785 16.4984 18.3481 -4.71795 -2.57306 22.5738 -4.06993 -8.78727 15.8166 -4.6445 28.6336 4.23745 21.8884 -0.0407903 9.78283 -0.00302488 -0.515661 -16.6951 10.9236 -24.7703 6.26954 -14.359 34.8278 -1.7668 20.6768 -30.5551 -23.4073 2.07097 -0.002863 6.87817 20.5055 3.0923 1.02305 -51.536 -4.44536e-05 15.3016 -9.54486 -25.2829 1.60107 7.55688 -20.8518 22.0509 -1.64083 14.93 2.70506 13.9315 10.9669 28.7917 -2.71148 1.96971 0.723389 -0.176561 12.9038 12.7331 5.80038 -14.0332 -24.1235 10.7129 -0.0108158 -21.1903 -0.0183596 -5.28466e-06 -21.5339 11.7961 -29.2118 ...I1010 00:04:44.358219 5598 voiceprint_main.cc:118]
Cosine similarity: 0.975489
The Cosine similarity in the last line indicates the similarity of the current two speakers.
If you want to test other audio or run with another model, you can run:
GLOG_logtostderr=1 ./voiceprint_main --helpThen you will see the help information as follows:
-enroll_wav (First wav as enroll wav.) type: string
default: "../test_data/BAC009S0749W0480.wav"
-feats_dims (Dims for input features.) type: uint32 default: 24
-model (Path to voiceprint model.) type: string default: "../model/tdnn.pt"
-sample_rate (Wav sample rate supported.) type: uint32 default: 16000
-test_wav (Second wav as test wav.) type: string
default: "../test_data/BAC009S0749W0489.wav"