Speech Recognition on Hub5'00 CH (test)
12.2WERn-gram + model M + NNLM
Evaluation Results
| Method | Links | |
|---|---|---|
| n-gram + model M + NNLMLanguage Model=n-gram + model M + NNLM2016.04 | 12.2 | |
| n-gram + NNLMLanguage Model=n-gram + NNLM2016.04 | 12.4 | |
| n-gram + model MLanguage Model=n-gram + model M2016.04 | 12.6 | |
| 85K vocab n-gram baselineLanguage Model=85K vocab, 36M n-grams2016.04 | 13.7 | |
| 30K vocab n-gram baselineLanguage Model=30K vocab, 4M n-grams2016.04 | 14.4 | |
| hybridLM=LSTM, label unit=CDp2018.05 | 17.3 | |
| hybridLM=4-gram, label unit=CDp2018.05 | 19 | |
| Deep SpeechTraining Data=SWB + FSH2014.12 | 19.3 | |
| LF MMILM=4-gram, label unit=CDp2018.05 | 19.3 | |
| DNN-HMMTraining Data=FSH2014.12 | 23.7 | |
| DNN-HMM sMBR2014.12 | 24.1 | |
| CTCLM=word RNN, label unit=chars, added lexicon=true2018.05 | 25.3 | |
| attention modelLM=LSTM, label unit=BPE 1K2018.05 | 25.7 | |
| attention modelLM=none, label unit=BPE 1K2018.05 | 26.1 | |
| DNN-HMMTraining Data=SWB2014.12 | 26.3 | |
| attention modelLM=none, label unit=BPE 10K2018.05 | 27.1 | |
| Deep SpeechTraining Data=SWB2014.12 | 31.8 | |
| CTCLM=RNN, label unit=chars, added noise=true2018.05 | 31.8 | |
| CTCLM=n-gram, label unit=chars2018.05 | 32.1 | |
| GMM-HMM BMMI2014.12 | 33 | |
| CTCLM=none, label unit=chars2018.05 | 37.1 | |
| CTCLM=RNN, label unit=chars2018.05 | 40.2 | |
| attentionLM=none, label unit=chars2018.05 | 40.8 | |
| attentionLM=3-gram, label unit=words2018.05 | 46 | |
| attentionLM=none, label unit=words2018.05 | 48.2 | |
| attentionLM=5-gram, label unit=chars2018.05 | 50.4 | |
| attentionLM=none, label unit=chars2018.05 | 52.7 | |
| CTCLM=none, label unit=chars2018.05 | 56.1 |