Speech Recognition on Wall Street Journal open vocabulary (dev93)
4.4WERDeep Speech 2
Evaluation Results
| Method | Links | ||
|---|---|---|---|
| Deep Speech 22019.09 | 4.4 | — | |
| Deep Speech 2labeled speech=12K h2019.04 | 4.42 | — | |
| Supervised transfer-learningphoneme-based=true2019.04 | 4.99 | — | |
| DeepSpeech 2Training hours=12k, Acoustic Model (AM)=true, LM=common crawl2018.12 | 5 | — | |
| wav2vec largeLanguage Model=CHAR CONVLM, Pre-training Data=Librispeech, Pre-training Hours=960h2019.04 | 5.1 | 2.11 | |
| wav2vec largeLanguage Model=WORD CONVLM, Pre-training Data=Librispeech, Pre-training Hours=960h2019.04 | 5.16 | 2.13 | |
| wav2vecLanguage Model=CHAR CONVLM, Pre-training Data=Librispeech, Pre-training Hours=960h2019.04 | 5.31 | 2.14 | |
| wav2vecLanguage Model=WORD CONVLM, Pre-training Data=Librispeech, Pre-training Hours=960h2019.04 | 5.39 | 2.22 | |
| Lattice-free MMIphoneme-based=true2019.04 | 5.66 | — | |
| ESPRESSOArchitecture=LSTM, Look-ahead Word LM=true, Improved Coverage=true, EOS Threshold=false, Beam Size=502019.09 | 5.9 | — | |
| ESPRESSOArchitecture=LSTM, Look-ahead Word LM=true, Improved Coverage=true, EOS Threshold=true, Beam Size=502019.09 | 5.9 | — | |
| Log-mel filterbanks (Baseline)Language Model=WORD CONVLM2019.04 | 6.27 | 2.57 | |
| Likhomanenko et al.2019.09 | 6.4 | — | |
| CNN-DNN-BLSTM-HMMSpeaker adaptation=true, Acoustic states=3k2018.12 | 6.6 | — | |
| Log-mel filterbanks (Baseline)Language Model=CHAR CONVLM2019.04 | 6.67 | 2.77 | |
| Learnable front-endFilters=80, Language Model=ConvLM2018.12 | 6.8 | — | |
| Trainable frontend2019.04 | 6.8 | — | |
| Zeghidour et al.2019.09 | 6.8 | — | |
| Learnable front-endFilters=40, Language Model=ConvLM2018.12 | 6.9 | — | |
| wav2vec largeLanguage Model=4-GRAM LM, Pre-training Data=Librispeech, Pre-training Hours=960h2019.04 | 6.96 | 2.73 | |
| wav2vecLanguage Model=4-GRAM LM, Pre-training Data=Librispeech, Pre-training Hours=960h2019.04 | 7.4 | 2.85 | |
| ESPRESSOArchitecture=LSTM, Look-ahead Word LM=true, Improved Coverage=false, EOS Threshold=false, Beam Size=502019.09 | 7.4 | — | |
| Mel-filterbanksLanguage Model=ConvLM2018.12 | 7.5 | — | |
| wav2vecLanguage Model=4-GRAM LM, Pre-training Data=Libri + WSJ, Pre-training Hours=1,041 h2019.04 | 7.59 | 2.91 | |
| Log-mel filterbanks (Baseline)Language Model=4-GRAM LM2019.04 | 8.57 | 3.32 | |
| wav2vecLanguage Model=4-GRAM LM, Pre-training Data=Librispeech, Pre-training Hours=80h2019.04 | 9.11 | 3.71 | |
| Mel-filterbanksLanguage Model=4-gram2018.12 | 9.5 | — | |
| ESPRESSOArchitecture=LSTM, Look-ahead Word LM=false, Improved Coverage=false, EOS Threshold=false, Beam Size=502019.09 | 14.8 | — |