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Released Models

Speech-to-Text Models

Speech Recognition Model

Acoustic Model	Training Data	Token-based	Size	Descriptions	CER	WER	Hours of speech	Example Link
Ds2 Online Aishell ASR0 Model	Aishell Dataset	Char-based	345 MB	2 Conv + 5 LSTM layers with only forward direction	0.080	-	151 h	D2 Online Aishell ASR0
Ds2 Offline Aishell ASR0 Model	Aishell Dataset	Char-based	306 MB	2 Conv + 3 bidirectional GRU layers	0.064	-	151 h	Ds2 Offline Aishell ASR0
Conformer Offline Aishell ASR1 Model	Aishell Dataset	Char-based	284 MB	Encoder:Conformer, Decoder:Transformer, Decoding method: Attention rescoring	0.056	-	151 h	Conformer Offline Aishell ASR1
Transformer Aishell ASR1 Model	Aishell Dataset	Char-based	128 MB	Encoder:Transformer, Decoder:Transformer, Decoding method: Attention rescoring	0.0523		151 h	Transformer Aishell ASR1
Ds2 Offline Librispeech ASR0 Model	Librispeech Dataset	Char-based	518 MB	2 Conv + 3 bidirectional LSTM layers	-	0.0725	960 h	Ds2 Offline Librispeech ASR0
Conformer Librispeech ASR1 Model	Librispeech Dataset	subword-based	191 MB	Encoder:Conformer, Decoder:Transformer, Decoding method: Attention rescoring	-	0.0337	960 h	Conformer Librispeech ASR1
Transformer Librispeech ASR1 Model	Librispeech Dataset	subword-based	131 MB	Encoder:Transformer, Decoder:Transformer, Decoding method: Attention rescoring	-	0.0381	960 h	Transformer Librispeech ASR1
Transformer Librispeech ASR2 Model	Librispeech Dataset	subword-based	131 MB	Encoder:Transformer, Decoder:Transformer, Decoding method: JoinCTC w/ LM	-	0.0240	960 h	Transformer Librispeech ASR2

Language Model based on NGram

Language Model	Training Data	Token-based	Size	Descriptions
English LM	CommonCrawl(en.00)	Word-based	8.3 GB	Pruned with 0 1 1 1 1; About 1.85 billion n-grams; 'trie' binary with '-a 22 -q 8 -b 8'
Mandarin LM Small	Baidu Internal Corpus	Char-based	2.8 GB	Pruned with 0 1 2 4 4; About 0.13 billion n-grams; 'probing' binary with default settings
Mandarin LM Large	Baidu Internal Corpus	Char-based	70.4 GB	No Pruning; About 3.7 billion n-grams; 'probing' binary with default settings

Speech Translation Models

Model	Training Data	Token-based	Size	Descriptions	BLEU	Example Link
(only for CLI)Transformer FAT-ST MTL En-Zh	Ted-En-Zh	Spm		Encoder:Transformer, Decoder:Transformer, Decoding method: Attention	20.80	Transformer Ted-En-Zh ST1

Text-to-Speech Models

Acoustic Models

Model Type	Dataset	Example Link	Pretrained Models	Static Models	Size (static)
Tacotron2	LJSpeech	tacotron2-ljspeech	tacotron2_ljspeech_ckpt_0.2.0.zip
Tacotron2	CSMSC	tacotron2-csmsc	tacotron2_csmsc_ckpt_0.2.0.zip	tacotron2_csmsc_static_0.2.0.zip	103MB
TransformerTTS	LJSpeech	transformer-ljspeech	transformer_tts_ljspeech_ckpt_0.4.zip
SpeedySpeech	CSMSC	speedyspeech-csmsc	speedyspeech_nosil_baker_ckpt_0.5.zip	speedyspeech_nosil_baker_static_0.5.zip	12MB
FastSpeech2	CSMSC	fastspeech2-csmsc	fastspeech2_nosil_baker_ckpt_0.4.zip	fastspeech2_nosil_baker_static_0.4.zip	157MB
FastSpeech2-Conformer	CSMSC	fastspeech2-csmsc	fastspeech2_conformer_baker_ckpt_0.5.zip
FastSpeech2	AISHELL-3	fastspeech2-aishell3	fastspeech2_nosil_aishell3_ckpt_0.4.zip
FastSpeech2	LJSpeech	fastspeech2-ljspeech	fastspeech2_nosil_ljspeech_ckpt_0.5.zip
FastSpeech2	VCTK	fastspeech2-vctk	fastspeech2_nosil_vctk_ckpt_0.5.zip

Vocoders

Model Type	Dataset	Example Link	Pretrained Models	Static Models	Size (static)
WaveFlow	LJSpeech	waveflow-ljspeech	waveflow_ljspeech_ckpt_0.3.zip
Parallel WaveGAN	CSMSC	PWGAN-csmsc	pwg_baker_ckpt_0.4.zip	pwg_baker_static_0.4.zip	5.1MB
Parallel WaveGAN	LJSpeech	PWGAN-ljspeech	pwg_ljspeech_ckpt_0.5.zip
Parallel WaveGAN	AISHELL-3	PWGAN-aishell3	pwg_aishell3_ckpt_0.5.zip
Parallel WaveGAN	VCTK	PWGAN-vctk	pwg_vctk_ckpt_0.5.zip
Multi Band MelGAN	CSMSC	MB MelGAN-csmsc	mb_melgan_csmsc_ckpt_0.1.1.zip mb_melgan_baker_finetune_ckpt_0.5.zip	mb_melgan_csmsc_static_0.1.1.zip	8.2MB
Style MelGAN	CSMSC	Style MelGAN-csmsc	style_melgan_csmsc_ckpt_0.1.1.zip
HiFiGAN	CSMSC	HiFiGAN-csmsc	hifigan_csmsc_ckpt_0.1.1.zip	hifigan_csmsc_static_0.1.1.zip	50MB
HiFiGAN	AISHELL-3	HiFiGAN-aishell3	hifigan_aishell3_ckpt_0.2.0.zip
WaveRNN	CSMSC	WaveRNN-csmsc	wavernn_csmsc_ckpt_0.2.0.zip	wavernn_csmsc_static_0.2.0.zip	18MB

Voice Cloning

Model Type	Dataset	Example Link	Pretrained Models
GE2E	AISHELL-3, etc.	ge2e	ge2e_ckpt_0.3.zip
GE2E + Tactron2	AISHELL-3	ge2e-tactron2-aishell3	tacotron2_aishell3_ckpt_vc0_0.2.0.zip
GE2E + FastSpeech2	AISHELL-3	ge2e-fastspeech2-aishell3	fastspeech2_nosil_aishell3_vc1_ckpt_0.5.zip

Audio Classification Models

Model Type	Dataset	Example Link	Pretrained Models	Static Models
PANN	Audioset	audioset_tagging_cnn	panns_cnn6.pdparams, panns_cnn10.pdparams, panns_cnn14.pdparams	panns_cnn6_static.tar.gz(18M), panns_cnn10_static.tar.gz(19M), panns_cnn14_static.tar.gz(289M)
PANN	ESC-50	pann-esc50	esc50_cnn6.tar.gz, esc50_cnn10.tar.gz, esc50_cnn14.tar.gz

Punctuation Restoration Models

Model Type	Dataset	Example Link	Pretrained Models
Ernie Linear	IWLST2012_zh	iwslt2012_punc0	ernie_linear_p3_iwslt2012_zh_ckpt_0.1.1.zip

Speech Recognition Model from paddle 1.8

Acoustic Model	Training Data	Token-based	Size	Descriptions	CER	WER	Hours of speech
Ds2 Offline Aishell model	Aishell Dataset	Char-based	234 MB	2 Conv + 3 bidirectional GRU layers	0.0804	—	151 h
Ds2 Offline Librispeech model	Librispeech Dataset	Word-based	307 MB	2 Conv + 3 bidirectional sharing weight RNN layers	—	0.0685	960 h
Ds2 Offline Baidu en8k model	Baidu Internal English Dataset	Word-based	273 MB	2 Conv + 3 bidirectional GRU layers	—	0.0541	8628 h