Continuous Speech Separation on LibriCSS 10%
12.6WER (Hybrid)Transformer-large
Evaluation Results
| Method | Links | ||
|---|---|---|---|
| Transformer-largeChannels=7, Model Size=Large2020.08 | 12.6 | 6 | |
| Conformer-largeChannels=7, Model Size=Large, Context Length=Standard2020.08 | 12.6 | 5.8 | |
| Conformer-baseChannels=7, Model Size=Base, Context Length=Standard2020.08 | 12.8 | 6.1 | |
| Conformer-largeChannels=7, Model Size=Large, Context Length=Long (xl)2020.08 | 12.9 | 5.8 | |
| BLSTMChannels=72020.08 | 13.1 | 7 | |
| Conformer-baseChannels=7, Model Size=Base, Context Length=Long (xl)2020.08 | 13.2 | 6.2 | |
| Transformer-baseChannels=7, Model Size=Base2020.08 | 13.4 | 6.2 | |
| Transformer-largeChannels=1, Model Size=Large2020.08 | 15.8 | 9.5 | |
| Conformer-largeChannels=1, Model Size=Large2020.08 | 16.3 | 9.1 | |
| Transformer-baseChannels=1, Model Size=Base2020.08 | 16.7 | 9.6 | |
| Conformer-baseChannels=1, Model Size=Base2020.08 | 17.4 | 10.6 | |
| No separationChannels=N/A2020.08 | 21.7 | 17.6 | |
| BLSTMChannels=12020.08 | 22.1 | 14.5 |