Continuous Speech Separation on LibriCSS 0S
0.109WER (Hybrid)Transformer-large
Evaluation Results
| Method | Links | ||
|---|---|---|---|
| Transformer-largeChannels=7, Model Size=Large2020.08 | 0.109 | 0.054 | |
| Conformer-largeChannels=7, Model Size=Large, Context Length=Standard2020.08 | 0.11 | 0.052 | |
| Conformer-largeChannels=7, Model Size=Large, Context Length=Long (xl)2020.08 | 0.11 | 0.052 | |
| Conformer-baseChannels=7, Model Size=Base, Context Length=Standard2020.08 | 0.111 | 0.056 | |
| BLSTMChannels=7, Model Size=N/A2020.08 | 0.114 | 0.06 | |
| Conformer-baseChannels=7, Model Size=Base, Context Length=Long (xl)2020.08 | 0.114 | 0.054 | |
| Transformer-baseChannels=7, Model Size=Base2020.08 | 0.12 | 0.056 | |
| Transformer-largeChannels=1, Model Size=Large2020.08 | 0.13 | 0.072 | |
| Conformer-largeChannels=1, Model Size=Large2020.08 | 0.133 | 0.069 | |
| Transformer-baseChannels=1, Model Size=Base2020.08 | 0.138 | 0.071 | |
| Conformer-baseChannels=1, Model Size=Base2020.08 | 0.141 | 0.077 | |
| No separationChannels=N/A2020.08 | 0.154 | 0.127 | |
| BLSTMChannels=12020.08 | 0.191 | 0.117 |