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Title: GitHub - csalt-research/blockdecoder: End-to-End Speech Processing Toolkit

Open Graph Title: GitHub - csalt-research/blockdecoder: End-to-End Speech Processing Toolkit

X Title: GitHub - csalt-research/blockdecoder: End-to-End Speech Processing Toolkit

Description: End-to-End Speech Processing Toolkit. Contribute to csalt-research/blockdecoder development by creating an account on GitHub.

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

X Description: End-to-End Speech Processing Toolkit. Contribute to csalt-research/blockdecoder development by creating an account on GitHub.

Opengraph URL: https://github.com/csalt-research/blockdecoder

X: @github

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[Kim et al., 2020]https://arxiv.org/abs/2002.03577
[Kim et al., 2021]https://ieeexplore.ieee.org/abstract/document/9250505
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https://patch-diff.githubusercontent.com/csalt-research/blockdecoder#ssl-self-supervised-learning
egs2/LibriSpeech/ssl1https://patch-diff.githubusercontent.com/csalt-research/blockdecoder/blob/master/egs2/LibriSpeech/ssl1
https://patch-diff.githubusercontent.com/csalt-research/blockdecoder#uasr-unsupervised-asr-euro-espnet-unsupervised-recognition---open-source
https://patch-diff.githubusercontent.com/csalt-research/blockdecoder#s2t-speech-to-text-with-whisper-style-multilingual-multitask-models
OWSMhttps://arxiv.org/abs/2309.13876
https://patch-diff.githubusercontent.com/csalt-research/blockdecoder#dnn-framework
kaldiiohttps://github.com/nttcslab-sp/kaldiio
DeepSpeedhttps://github.com/microsoft/DeepSpeed
https://patch-diff.githubusercontent.com/csalt-research/blockdecoder#espnet2
ESPnet2https://espnet.github.io/espnet/espnet2_tutorial.html
Slurmhttps://slurm.schedmd.com/
fairscalehttps://github.com/facebookresearch/fairscale
ESPnet Model Zoohttps://github.com/espnet/espnet_model_zoo
wandbhttps://espnet.github.io/espnet/espnet2_training_option.html#weights-biases-integration
https://patch-diff.githubusercontent.com/csalt-research/blockdecoder#installation
Installationhttps://espnet.github.io/espnet/installation.html
tools/installershttps://patch-diff.githubusercontent.com/csalt-research/blockdecoder/blob/master/tools/installers
https://patch-diff.githubusercontent.com/csalt-research/blockdecoder#docker-container
docker/https://patch-diff.githubusercontent.com/csalt-research/blockdecoder/blob/master/docker
instructionshttps://espnet.github.io/espnet/docker.html
https://patch-diff.githubusercontent.com/csalt-research/blockdecoder#contribution
issueshttps://github.com/espnet/espnet/issues
contribution guidehttps://patch-diff.githubusercontent.com/csalt-research/blockdecoder/blob/master/CONTRIBUTING.md
https://patch-diff.githubusercontent.com/csalt-research/blockdecoder#asr-results
linkhttps://github.com/espnet/espnet/blob/master/egs/aishell/asr1/RESULTS.md#conformer-kernel-size--15--specaugment--lm-weight--00-result
linkhttps://github.com/espnet/espnet/tree/master/egs2/aishell/asr1#branchformer-initial
linkhttps://github.com/espnet/espnet/blob/master/egs/commonvoice/asr1/RESULTS.md#first-results-default-pytorch-transformer-setting-with-bpe-100-epochs-single-gpu
linkhttps://github.com/espnet/espnet/blob/master/egs/csj/asr1/RESULTS.md#pytorch-backend-transformer-without-any-hyperparameter-tuning
linkhttps://github.com/espnet/espnet/tree/master/egs2/csj/asr1#initial-conformer-results
linkhttps://github.com/espnet/espnet/tree/master/egs2/gigaspeech/asr1#e-branchformer
linkhttps://github.com/espnet/espnet/blob/master/egs/hkust/asr1/RESULTS.md#transformer-only-20-epochs
linkhttps://github.com/espnet/espnet/tree/master/egs2/hkust/asr1#transformer-asr--transformer-lm
linkhttps://github.com/espnet/espnet/blob/master/egs/librispeech/asr1/RESULTS.md#pytorch-large-conformer-with-specaug--speed-perturbation-8-gpus--transformer-lm-4-gpus
linkhttps://github.com/espnet/espnet/tree/master/egs2/librispeech/asr1#self-supervised-learning-features-hubert_large_ll60k-conformer-utt_mvn-with-transformer-lm
linkhttps://github.com/espnet/espnet/blob/master/egs/swbd/asr1/RESULTS.md#conformer-with-bpe-2000-specaug-speed-perturbation-transformer-lm-decoding
linkhttps://github.com/espnet/espnet/tree/master/egs2/swbd/asr1#e-branchformer
linkhttps://github.com/espnet/espnet/blob/master/egs/tedlium2/asr1/RESULTS.md#conformer-large-model--specaug--speed-perturbation--rnnlm
linkhttps://github.com/espnet/espnet/blob/master/egs2/tedlium2/asr1/README.md#e-branchformer-12-encoder-layers
linkhttps://github.com/espnet/espnet/blob/master/egs/tedlium3/asr1/RESULTS.md
linkhttps://github.com/espnet/espnet/tree/master/egs2/wsj/asr1#self-supervised-learning-features-wav2vec2_large_ll60k-conformer-utt_mvn-with-transformer-lm
RWTHhttps://arxiv.org/pdf/1805.03294.pdf
https://patch-diff.githubusercontent.com/csalt-research/blockdecoder#asr-demo
tedlium2.rnn.v1https://drive.google.com/open?id=1UqIY6WJMZ4sxNxSugUqp3mrGb3j6h7xe
tedlium2.rnn.v2https://drive.google.com/open?id=1cac5Uc09lJrCYfWkLQsF8eapQcxZnYdf
tedlium2.transformer.v1https://drive.google.com/open?id=1cVeSOYY1twOfL9Gns7Z3ZDnkrJqNwPow
tedlium3.transformer.v1https://drive.google.com/open?id=1zcPglHAKILwVgfACoMWWERiyIquzSYuU
librispeech.transformer.v1https://drive.google.com/open?id=1BtQvAnsFvVi-dp_qsaFP7n4A_5cwnlR6
commonvoice.transformer.v1https://drive.google.com/open?id=1tWccl6aYU67kbtkm8jv5H6xayqg1rzjh
csj.transformer.v1https://drive.google.com/open?id=120nUQcSsKeY5dpyMWw_kI33ooMRGT2uF
csj.rnn.v1https://drive.google.com/open?id=1ALvD4nHan9VDJlYJwNurVr7H7OV0j2X9
https://patch-diff.githubusercontent.com/csalt-research/blockdecoder#se-results
TF Maskinghttps://zenodo.org/record/4498554
Conv-Tasnethttps://zenodo.org/record/4498562
DPRNN-Tasnethttps://zenodo.org/record/4688000
https://patch-diff.githubusercontent.com/csalt-research/blockdecoder#se-demos
https://colab.research.google.com/drive/1fjRJCh96SoYLZPRxsjF9VDv4Q2VoIckI?usp=sharing
https://colab.research.google.com/drive/17vd1V78eJpp3PHBnbFE5aVY5uMxQFL6o?usp=sharing
https://patch-diff.githubusercontent.com/csalt-research/blockdecoder#st-results
https://patch-diff.githubusercontent.com/csalt-research/blockdecoder#end-to-end-system
linkhttps://github.com/espnet/espnet/blob/master/egs/fisher_callhome_spanish/st1/RESULTS.md#train_spen_lcrm_pytorch_train_pytorch_transformer_bpe_short_long_bpe1000_specaug_asrtrans_mttrans
linkhttps://github.com/espnet/espnet/blob/master/egs/fisher_callhome_spanish/st1/RESULTS.md#train_spen_lcrm_pytorch_train_pytorch_transformer_bpe_short_long_bpe1000_specaug_asrtrans_mttrans
linkhttps://github.com/espnet/espnet/blob/master/egs/libri_trans/st1/RESULTS.md#train_spfr_lc_pytorch_train_pytorch_transformer_bpe_short_long_bpe1000_specaug_asrtrans_mttrans-1
linkhttps://github.com/espnet/espnet/blob/master/egs/how2/st1/RESULTS.md#trainpt_tc_pytorch_train_pytorch_transformer_short_long_bpe8000_specaug_asrtrans_mttrans-1
linkhttps://github.com/espnet/espnet/blob/master/egs/must_c/st1/RESULTS.md#train_spen-dede_tc_pytorch_train_pytorch_transformer_short_long_bpe8000_specaug_asrtrans_mttrans
https://patch-diff.githubusercontent.com/csalt-research/blockdecoder#cascaded-system
https://patch-diff.githubusercontent.com/csalt-research/blockdecoder#st-demo
https://colab.research.google.com/github/espnet/notebook/blob/master/st_demo.ipynb
fisher_callhome_spanish.transformer.v1https://drive.google.com/open?id=1hawp5ZLw4_SIHIT3edglxbKIIkPVe8n3
https://patch-diff.githubusercontent.com/csalt-research/blockdecoder#mt-results
linkhttps://github.com/espnet/espnet/blob/master/egs/fisher_callhome_spanish/mt1/RESULTS.md#trainen_lcrm_lcrm_pytorch_train_pytorch_transformer_bpe_bpe1000
linkhttps://github.com/espnet/espnet/blob/master/egs/fisher_callhome_spanish/mt1/RESULTS.md#trainen_lcrm_lcrm_pytorch_train_pytorch_transformer_bpe_bpe1000
linkhttps://github.com/espnet/espnet/blob/master/egs/libri_trans/mt1/RESULTS.md#trainfr_lcrm_tc_pytorch_train_pytorch_transformer_bpe1000
linkhttps://github.com/espnet/espnet/blob/master/egs/how2/mt1/RESULTS.md#trainpt_tc_tc_pytorch_train_pytorch_transformer_bpe8000
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/egs2/iwslt14/mt1/README.md
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/csalt-research/blockdecoder#tts-results
ESPnet2 TTS generated sampleshttps://drive.google.com/drive/folders/1H3fnlBbWMEkQUfrHqosKN_ZX_WjO29ma?usp=sharing
Parallel WaveGANhttps://github.com/kan-bayashi/ParallelWaveGAN
ESPnet model zoohttps://github.com/espnet/espnet_model_zoo
Pre-trained model listhttps://github.com/espnet/espnet_model_zoo/blob/master/espnet_model_zoo/table.csv
kan-bayashi/ParallelWaveGANhttps://github.com/kan-bayashi/ParallelWaveGAN
Pre-trained vocoder listhttps://github.com/kan-bayashi/ParallelWaveGAN#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 FastSpeechhttps://drive.google.com/open?id=1wG-Y0itVYalxuLAHdkAHO7w1CWFfRPF4
All of the pre-trained 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
kan-bayashi/ParallelWaveGANhttps://github.com/kan-bayashi/ParallelWaveGAN
the manualhttps://github.com/kan-bayashi/ParallelWaveGAN#decoding-with-espnet-tts-models-features
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.v1https://drive.google.com/open?id=1ipPWYl8FBNRlBFaKj1-i23eQpW_W_YcR
MelGANhttps://github.com/kan-bayashi/ParallelWaveGAN
ljspeech.melgan.v3https://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/csalt-research/blockdecoder#tts-demo
https://colab.research.google.com/github/espnet/notebook/blob/master/espnet2_tts_realtime_demo.ipynb
https://colab.research.google.com/github/espnet/notebook/blob/master/tts_realtime_demo.ipynb
https://patch-diff.githubusercontent.com/csalt-research/blockdecoder#vc-results
demo webpagehttps://unilight.github.io/Publication-Demos/publications/transformer-vc/
Voice Conversion Challenge 2020http://www.vc-challenge.org/
herehttps://drive.google.com/drive/folders/1oeZo83GrOgtqxGwF7KagzIrfjr8X59Ue?usp=sharing
https://patch-diff.githubusercontent.com/csalt-research/blockdecoder#slu-results
linkhttps://github.com/espnet/espnet/tree/master/egs2/slurp/asr1/README.md
linkhttps://github.com/espnet/espnet/tree/master/egs2/fsc/asr1/README.md
linkhttps://github.com/espnet/espnet/tree/master/egs2/fsc_unseen/asr1/README.md
linkhttps://github.com/espnet/espnet/tree/master/egs2/fsc_unseen/asr1/README.md
linkhttps://github.com/espnet/espnet/tree/master/egs2/fsc_challenge/asr1/README.md
linkhttps://github.com/espnet/espnet/tree/master/egs2/fsc_challenge/asr1/README.md
linkhttps://github.com/espnet/espnet/tree/master/egs2/snips/asr1/README.md
linkhttps://github.com/espnet/espnet/tree/master/egs2/grabo/asr1/README.md
linkhttps://github.com/espnet/espnet/tree/master/egs2/catslu/asr1/README.md
linkhttps://github.com/espnet/espnet/tree/master/egs2/speechcommands/asr1/README.md
linkhttps://github.com/espnet/espnet/tree/master/egs2/slurp_entity/asr1/README.md
linkhttps://github.com/espnet/espnet/tree/master/egs2/swbd_da/asr1/README.md
linkhttps://github.com/espnet/espnet/tree/master/egs2/jdcinal/asr1/README.md
linkhttps://github.com/espnet/espnet/tree/master/egs2/iemocap/asr1/README.md
linkhttps://github.com/espnet/espnet/tree/master/egs2/swbd_sentiment/asr1/README.md
linkhttps://github.com/espnet/espnet/tree/master/egs2/slue-voxceleb/asr1/README.md
https://patch-diff.githubusercontent.com/csalt-research/blockdecoder#ctc-segmentation-demo
CTC segmentationhttps://arxiv.org/abs/2007.09127
CTC segmentationhttps://arxiv.org/abs/2007.09127
espnet#4278 (comment)https://github.com/espnet/espnet/issues/4278#issuecomment-1100756463
https://patch-diff.githubusercontent.com/csalt-research/blockdecoder#citations
espnet.github.io/espnet/https://espnet.github.io/espnet/
Readme https://patch-diff.githubusercontent.com/csalt-research/blockdecoder#readme-ov-file
Apache-2.0 license https://patch-diff.githubusercontent.com/csalt-research/blockdecoder#Apache-2.0-1-ov-file
Contributing https://patch-diff.githubusercontent.com/csalt-research/blockdecoder#contributing-ov-file
Please reload this pagehttps://patch-diff.githubusercontent.com/csalt-research/blockdecoder
Activityhttps://patch-diff.githubusercontent.com/csalt-research/blockdecoder/activity
Custom propertieshttps://patch-diff.githubusercontent.com/csalt-research/blockdecoder/custom-properties
0 starshttps://patch-diff.githubusercontent.com/csalt-research/blockdecoder/stargazers
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Report repository https://patch-diff.githubusercontent.com/contact/report-content?content_url=https%3A%2F%2Fgithub.com%2Fcsalt-research%2Fblockdecoder&report=csalt-research+%28user%29
Releaseshttps://patch-diff.githubusercontent.com/csalt-research/blockdecoder/releases
Packages 0https://patch-diff.githubusercontent.com/orgs/csalt-research/packages?repo_name=blockdecoder
https://github.com
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