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Title: GitHub - coderwhisky/espnet: End-to-End Speech Processing Toolkit

Open Graph Title: GitHub - coderwhisky/espnet: End-to-End Speech Processing Toolkit

X Title: GitHub - coderwhisky/espnet: End-to-End Speech Processing Toolkit

Description: End-to-End Speech Processing Toolkit. Contribute to coderwhisky/espnet development by creating an account on GitHub.

Open Graph Description: End-to-End Speech Processing Toolkit. Contribute to coderwhisky/espnet development by creating an account on GitHub.

X Description: End-to-End Speech Processing Toolkit. Contribute to coderwhisky/espnet development by creating an account on GitHub.

Opengraph URL: https://github.com/coderwhisky/espnet

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linkhttps://github.com/espnet/espnet/blob/master/egs/must_c/mt1/RESULTS.md#summary-4-gram-bleu
linkhttps://github.com/espnet/espnet/blob/master/egs/iwslt16/mt1/RESULTS.md#result
linkhttps://github.com/espnet/espnet/blob/master/egs/iwslt16/mt1/RESULTS.md#result
linkhttps://github.com/espnet/espnet/blob/master/egs/iwslt16/mt1/RESULTS.md#result
linkhttps://github.com/espnet/espnet/blob/master/egs/iwslt16/mt1/RESULTS.md#result
https://patch-diff.githubusercontent.com/coderwhisky/espnet#tts-results
espnet-tts-samplehttps://espnet.github.io/espnet-tts-sample/
Single English speaker Tacotron2https://drive.google.com/open?id=18JgsOCWiP_JkhONasTplnHS7yaF_konr
Single Japanese speaker Tacotron2https://drive.google.com/open?id=1fEgS4-K4dtgVxwI4Pr7uOA1h4PE-zN7f
Single other language speaker Tacotron2https://drive.google.com/open?id=1q_66kyxVZGU99g8Xb5a0Q8yZ1YVm2tN0
Multi English speaker Tacotron2https://drive.google.com/open?id=18S_B8Ogogij34rIfJOeNF8D--uG7amz2
Single English speaker Transformerhttps://drive.google.com/open?id=14EboYVsMVcAq__dFP1p6lyoZtdobIL1X
Single English speaker FastSpeechhttps://drive.google.com/open?id=1PSxs1VauIndwi8d5hJmZlppGRVu2zuy5
Multi English speaker Transformerhttps://drive.google.com/open?id=1_vrdqjM43DdN1Qz7HJkvMQ6lCMmWLeGp
Single Italian speaker FastSpeechhttps://drive.google.com/open?id=13I5V2w7deYFX4DlVk1-0JfaXmUR2rNOv
Single Mandarin speaker Transformerhttps://drive.google.com/open?id=1mEnZfBKqA4eT6Bn0eRZuP6lNzL-IL3VD
Single Mandarin speaker FastSpeechhttps://drive.google.com/open?id=1Ol_048Tuy6BgvYm1RpjhOX4HfhUeBqdK
Multi Japanese speaker Transformerhttps://drive.google.com/open?id=1fFMQDF6NV5Ysz48QLFYE8fEvbAxCsMBw
Single English speaker models with Parallel WaveGANhttps://drive.google.com/open?id=1HvB0_LDf1PVinJdehiuCt5gWmXGguqtx
Single English speaker knowledge distillation-based FastSpeech (New!)https://drive.google.com/open?id=1wG-Y0itVYalxuLAHdkAHO7w1CWFfRPF4
All of the pretrained E2E-TTS modelshttps://drive.google.com/open?id=1k9RRyc06Zl0mM2A7mi-hxNiNMFb_YzTF
All of the generated sampleshttps://drive.google.com/open?id=1bQGuqH92xuxOX__reWLP4-cif0cbpMLX
kan-bayashi/ParallelWaveGANhttps://github.com/kan-bayashi/ParallelWaveGAN
r9y9/wavenet_vocoderhttps://github.com/r9y9/wavenet_vocoder
kan-bayashi/PytorchWaveNetVocoderhttps://github.com/kan-bayashi/PytorchWaveNetVocoder
ljspeech.wavenet.softmax.ns.v1https://drive.google.com/open?id=1eA1VcRS9jzFa-DovyTgJLQ_jmwOLIi8L
Softmax WaveNethttps://github.com/kan-bayashi/PytorchWaveNetVocoder
ljspeech.wavenet.mol.v1https://drive.google.com/open?id=1sY7gEUg39QaO1szuN62-Llst9TrFno2t
MoL WaveNethttps://github.com/r9y9/wavenet_vocoder
ljspeech.parallel_wavegan.v1https://drive.google.com/open?id=1tv9GKyRT4CDsvUWKwH3s_OfXkiTi0gw7
Parallel WaveGANhttps://github.com/kan-bayashi/ParallelWaveGAN
ljspeech.wavenet.mol.v2https://drive.google.com/open?id=1es2HuKUeKVtEdq6YDtAsLNpqCy4fhIXr
MoL WaveNethttps://github.com/r9y9/wavenet_vocoder
ljspeech.parallel_wavegan.v2https://drive.google.com/open?id=1Grn7X9wD35UcDJ5F7chwdTqTa4U7DeVB
Parallel WaveGANhttps://github.com/kan-bayashi/ParallelWaveGAN
ljspeech.melgan.v1 (EXPERIMENTAL)https://drive.google.com/open?id=1ipPWYl8FBNRlBFaKj1-i23eQpW_W_YcR
MelGANhttps://github.com/kan-bayashi/ParallelWaveGAN
ljspeech.melgan.v3 (EXPERIMENTAL)https://drive.google.com/open?id=1_a8faVA5OGCzIcJNw4blQYjfG4oA9VEt
MelGANhttps://github.com/kan-bayashi/ParallelWaveGAN
libritts.wavenet.mol.v1https://drive.google.com/open?id=1jHUUmQFjWiQGyDd7ZeiCThSjjpbF_B4h
MoL WaveNethttps://github.com/r9y9/wavenet_vocoder
jsut.wavenet.mol.v1https://drive.google.com/open?id=187xvyNbmJVZ0EZ1XHCdyjZHTXK9EcfkK
MoL WaveNethttps://github.com/r9y9/wavenet_vocoder
jsut.parallel_wavegan.v1https://drive.google.com/open?id=1OwrUQzAmvjj1x9cDhnZPp6dqtsEqGEJM
Parallel WaveGANhttps://github.com/kan-bayashi/ParallelWaveGAN
csmsc.wavenet.mol.v1https://drive.google.com/open?id=1PsjFRV5eUP0HHwBaRYya9smKy5ghXKzj
MoL WaveNethttps://github.com/r9y9/wavenet_vocoder
csmsc.parallel_wavegan.v1https://drive.google.com/open?id=10M6H88jEUGbRWBmU1Ff2VaTmOAeL8CEy
Parallel WaveGANhttps://github.com/kan-bayashi/ParallelWaveGAN
https://patch-diff.githubusercontent.com/coderwhisky/espnet#tts-demo
https://colab.research.google.com/github/espnet/notebook/blob/master/tts_realtime_demo.ipynb
colab notebookhttps://colab.research.google.com/github/espnet/notebook/blob/master/tts_realtime_demo.ipynb
ljspeech.tacotron2.v1https://drive.google.com/open?id=1dKzdaDpOkpx7kWZnvrvx2De7eZEdPHZs
ljspeech.tacotron2.v2https://drive.google.com/open?id=11T9qw8rJlYzUdXvFjkjQjYrp3iGfQ15h
ljspeech.tacotron2.v3https://drive.google.com/open?id=1hiZn14ITUDM1nkn-GkaN_M3oaTOUcn1n
ljspeech.transformer.v1https://drive.google.com/open?id=13DR-RB5wrbMqBGx_MC655VZlsEq52DyS
ljspeech.transformer.v2https://drive.google.com/open?id=1xxAwPuUph23RnlC5gym7qDM02ZCW9Unp
ljspeech.transformer.v3https://drive.google.com/open?id=1M_w7nxI6AfbtSHpMO-exILnAc_aUYvXP
ljspeech.fastspeech.v1https://drive.google.com/open?id=17RUNFLP4SSTbGA01xWRJo7RkR876xM0i
ljspeech.fastspeech.v2https://drive.google.com/open?id=1zD-2GMrWM3thaDpS3h3rkTU4jIC0wc5B
ljspeech.fastspeech.v3https://drive.google.com/open?id=1W86YEQ6KbuUTIvVURLqKtSNqe_eI2GDN
libritts.tacotron2.v1https://drive.google.com/open?id=1iAXwC0AuWusa9AcFeUVkcNLG0I-hnSr3
libritts.transformer.v1https://drive.google.com/open?id=1Xj73mDPuuPH8GsyNO8GnOC3mn0_OK4g3
jsut.tacotron2https://drive.google.com/open?id=1kp5M4VvmagDmYckFJa78WGqh1drb_P9t
jsut.transformerhttps://drive.google.com/open?id=1mEnZfBKqA4eT6Bn0eRZuP6lNzL-IL3VD
csmsc.transformer.v1https://drive.google.com/open?id=1bTSygvonv5TS6-iuYsOIUWpN2atGnyhZ
csmsc.fastspeech.v3https://drive.google.com/open?id=1T8thxkAxjGFPXPWPTcKLvHnd6lG0-82R
ljspeech.wavenet.softmax.ns.v1https://drive.google.com/open?id=1eA1VcRS9jzFa-DovyTgJLQ_jmwOLIi8L
Softmax WaveNethttps://github.com/kan-bayashi/PytorchWaveNetVocoder
ljspeech.wavenet.mol.v1https://drive.google.com/open?id=1sY7gEUg39QaO1szuN62-Llst9TrFno2t
MoL WaveNethttps://github.com/r9y9/wavenet_vocoder
ljspeech.parallel_wavegan.v1https://drive.google.com/open?id=1tv9GKyRT4CDsvUWKwH3s_OfXkiTi0gw7
Parallel WaveGANhttps://github.com/kan-bayashi/ParallelWaveGAN
libritts.wavenet.mol.v1https://drive.google.com/open?id=1jHUUmQFjWiQGyDd7ZeiCThSjjpbF_B4h
MoL WaveNethttps://github.com/r9y9/wavenet_vocoder
jsut.wavenet.mol.v1https://drive.google.com/open?id=187xvyNbmJVZ0EZ1XHCdyjZHTXK9EcfkK
MoL WaveNethttps://github.com/r9y9/wavenet_vocoder
jsut.parallel_wavegan.v1https://drive.google.com/open?id=1OwrUQzAmvjj1x9cDhnZPp6dqtsEqGEJM
Parallel WaveGANhttps://github.com/kan-bayashi/ParallelWaveGAN
csmsc.wavenet.mol.v1https://drive.google.com/open?id=1PsjFRV5eUP0HHwBaRYya9smKy5ghXKzj
MoL WaveNethttps://github.com/r9y9/wavenet_vocoder
csmsc.parallel_wavegan.v1https://drive.google.com/open?id=10M6H88jEUGbRWBmU1Ff2VaTmOAeL8CEy
Parallel WaveGANhttps://github.com/kan-bayashi/ParallelWaveGAN
https://patch-diff.githubusercontent.com/coderwhisky/espnet#vc-results
Voice Conversion Challenge 2020http://www.vc-challenge.org/
herehttps://drive.google.com/drive/folders/1oeZo83GrOgtqxGwF7KagzIrfjr8X59Ue?usp=sharing
https://patch-diff.githubusercontent.com/coderwhisky/espnet#references
https://patch-diff.githubusercontent.com/coderwhisky/espnet#citations
espnet.github.io/espnet/https://espnet.github.io/espnet/
Readme https://patch-diff.githubusercontent.com/coderwhisky/espnet#readme-ov-file
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