Multi-speaker ASR on Libri3Mix mixboth
26.4WERUME (λasr = 1.0)
Evaluation Results
| Method | Links | |
|---|---|---|
| UME (λasr = 1.0)Training Set=LibriMix, Training hours=460 hours, Mix Type=mixboth: speech + noise, Overlap Mode=max, Training weights (λasr, λdiar, λsep)=(1.0, 0, 0)2025.08 | 26.4 | |
| UME (0.33, 0.33, 0.34) + ASR init.Training Set=LibriMix, Training hours=460 hours, Mix Type=mixboth: speech + noise, Overlap Mode=max, Initialization=ASR init., Training weights (λasr, λdiar, λsep)=(0.33, 0.33, 0.34)2025.08 | 26.5 | |
| UME ASR init. (0.33, 0.33, 0.34) w/ RWSETraining Set=LibriMix, Training hours=460 hours, Mix Type=mixboth: speech + noise, Overlap Mode=max, Initialization=ASR init., Training weights (λasr, λdiar, λsep)=(0.33, 0.33, 0.34), RWSE=true2025.08 | 27.1 | |
| UME (0.1, 0.1, 0.8) + ASR init.Training Set=LibriMix, Training hours=460 hours, Mix Type=mixboth: speech + noise, Overlap Mode=max, Initialization=ASR init., Training weights (λasr, λdiar, λsep)=(0.1, 0.1, 0.8)2025.08 | 27.3 |