Continuous Speech Separation on LibriCSS 40%
18.9WER (Hybrid)Transformer-large
Evaluation Results
| Method | Links | ||
|---|---|---|---|
| Transformer-largeChannels=7, Model Size=Large2020.08 | 18.9 | 10.2 | |
| Conformer-baseChannels=7, Model Size=Base, Context Length=Standard2020.08 | 19.6 | 10.4 | |
| Conformer-largeChannels=7, Model Size=Large, Context Length=Standard2020.08 | 19.6 | 10 | |
| Conformer-largeChannels=7, Model Size=Large, Context Length=Long (xl)2020.08 | 19.8 | 10.6 | |
| Transformer-baseChannels=7, Model Size=Base2020.08 | 19.9 | 10.3 | |
| Conformer-baseChannels=7, Model Size=Base, Context Length=Long (xl)2020.08 | 20 | 10.8 | |
| BLSTMChannels=72020.08 | 20.5 | 12.3 | |
| Transformer-largeChannels=1, Model Size=Large2020.08 | 28.6 | 19.3 | |
| Conformer-largeChannels=1, Model Size=Large2020.08 | 29.3 | 19.3 | |
| Transformer-baseChannels=1, Model Size=Base2020.08 | 31 | 21.6 | |
| Conformer-baseChannels=1, Model Size=Base2020.08 | 32 | 22.4 | |
| BLSTMChannels=12020.08 | 37.6 | 30.1 | |
| No separationChannels=N/A2020.08 | 40.5 | 37.5 |