Automatic Speech Recognition on NIST CTS CallHome 2000
11WER2016 Microsoft system
Evaluation Results
| Method | Links | |
|---|---|---|
| 2016 Microsoft systemLanguage Model=Neural net LM2016.10 | 11 | |
| Human transcription2016.10 | 11.3 | |
| CombinationLanguage Model=Neural LM2016.09 | 12 | |
| Saon et al. systemLanguage Model=Neural net LM2016.10 | 12.2 | |
| Saon et al. CombinationLanguage Model=Neural LM2016.09 | 12.2 | |
| ResNetLanguage Model=Neural LM2016.09 | 13.2 | |
| 2016 Microsoft systemLanguage Model=N-gram LM2016.10 | 13.3 | |
| CombinationLanguage Model=N-gram LM2016.09 | 13.3 | |
| LACELanguage Model=Neural LM2016.09 | 13.5 | |
| Saon et al. systemLanguage Model=N-gram LM2016.10 | 13.7 | |
| Saon et al. CombinationLanguage Model=N-gram LM2016.09 | 13.7 | |
| ResNet GMM alignmentLanguage Model=Neural LM2016.09 | 13.7 | |
| VGGLanguage Model=Neural LM2016.09 | 14.1 | |
| 27k Senone BLSTMLanguage Model=Neural LM2016.09 | 14.6 | |
| ResNetLanguage Model=N-gram LM2016.09 | 14.8 | |
| LACELanguage Model=N-gram LM2016.09 | 14.8 | |
| Saon et al. LSTMLanguage Model=N-gram LM2016.10 | 15.1 | |
| Saon et al. LSTMLanguage Model=N-gram LM2016.09 | 15.1 | |
| Povey et al. LSTMLanguage Model=N-gram LM2016.10 | 15.3 | |
| Povey et al. LSTMLanguage Model=N-gram LM2016.09 | 15.3 | |
| ResNet GMM alignmentLanguage Model=N-gram LM2016.09 | 15.3 | |
| BLSTMLanguage Model=Neural LM2016.09 | 15.3 | |
| VGGLanguage Model=N-gram LM2016.09 | 15.7 | |
| 27k Senone BLSTMLanguage Model=N-gram LM2016.09 | 16.2 | |
| BLSTMLanguage Model=N-gram LM2016.09 | 16.7 | |
| 300h ResNetLanguage Model=Neural LM, Training Data=300 hours2016.09 | 17.7 | |
| 300h ResNetLanguage Model=N-gram LM, Training Data=300 hours2016.09 | 19.2 |