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Multi-speaker Automatic Speech Recognition on Libri2Mix

14.34CP-WERDicow
12.431625.313338.19551.0767Jan 7, 2026

Evaluation results

MethodLinks
DicowProcessing paradigm=multi-speaker ASR, Positional encoding=absolute2026.0114.3414.35——
TellWhisperProcessing paradigm=multi-speaker ASR, Positional encoding=TS-RoPE2026.0114.3914.61——
TellWhisper-DiarizenProcessing paradigm=multi-speaker ASR, Positional encoding=TS-RoPE2026.0114.4514.87——
Whisper-DProcessing paradigm=multi-speaker ASR, Positional encoding=absolute2026.0114.4814.57——
SortFormerProcessing paradigm=multi-speaker ASR, Positional encoding=absolute2026.0114.6214.76——
Tiger+WhisperProcessing paradigm=speech decoupling -> single-speaker ASR, Positional encoding=absolute2026.0137.9637.97——
Hyper-SD+WhisperProcessing paradigm=speaker diarization + single-speaker ASR (results alignment), Positional encoding=absolute2026.0161.2361.25——
Pyannote3+WhisperProcessing paradigm=speaker diarization + single-speaker ASR (results alignment), Positional encoding=absolute2026.0162.0562.08——
DicowPositional Encoding=absolute2026.01——13.3413.36
SortFormerPositional Encoding=absolute2026.01——14.5114.55
TellWhisper (ours)Positional Encoding=TS-RoPE2026.01——13.3213.67
TellWhisper-DiarizenPositional Encoding=TS-RoPE2026.01——13.4613.83
Whisper-DPositional Encoding=absolute2026.01——14.3914.4