Speaker-Attributed Automatic Speech Recognition on Fisher (test)
0.9WDERSAA+SID
Evaluation results
| Method | Links | |||||
|---|---|---|---|---|---|---|
| SAA+SIDTraining Mode=Best SAA+SID configuration2026.04 | 0.9 | 17.7 | — | — | — | |
| NemoDiarization Model=titanet_large, ASR Model=stt_en_conformer_ctc_large2026.04 | 4.3 | 20.9 | — | — | — | |
| PyAnnote+GraniteDiarization Tool=pyannote.audio-3.1, ASR Tool=Granite speech2026.04 | 11 | 41.2 | — | — | — | |
| DM-ASR (S2SND) (CN+EN 2900h)Parms=1.7B, Label perturbation=None, Diarization source=diarization-provided speakers, Time prediction=LLM-predicted times2026.04 | 11.16 | — | 15.91 | 16.1 | 6.53 | |
| PyAnnote+WhisperDiarization Tool=pyannote.audio-3.1, ASR Tool=Whisper (large v3)2026.04 | 11.7 | 54.6 | — | — | — | |
| JEDIS-LLM(10000h)Parms=5.6B2026.04 | 15.03 | — | — | — | — | |
| DM-ASR (DiariZen) (EN 1600h)Parms=0.6B, Label perturbation=None, Diarization source=diarization-provided speakers, Time prediction=LLM-predicted times2026.04 | 24.71 | — | 16.86 | 17 | — | |
| DM-ASR (DiariZen) (CN+EN 2900h)Parms=0.6B, Label perturbation=None, Diarization source=diarization-provided speakers, Time prediction=LLM-predicted times2026.04 | 24.71 | — | 17.22 | 17.35 | — | |
| DM-ASR (DiariZen) (CN+EN 2900h)Parms=1.7B, Label perturbation=None, Diarization source=diarization-provided speakers, Time prediction=LLM-predicted times2026.04 | 24.71 | — | 16.76 | 16.89 | — | |
| DiariZen + Whisper-large-v3Parms=1.5B2026.04 | 24.72 | — | 26.29 | 26.75 | — | |
| DM-ASR (DiariZen) (EN 630h)Parms=0.6B, Label perturbation=None, Diarization source=diarization-provided speakers, Time prediction=LLM-predicted times2026.04 | 24.74 | — | 17.29 | 17.43 | — |