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Multi-speaker Automatic Speech Recognition on LibriCSS

9.88CP-WERTellWhisper
8.501617.805827.1136.4142Jan 7, 2026

Evaluation results

MethodLinks
TellWhisperProcessing paradigm=multi-speaker ASR, Positional encoding=TS-RoPE2026.019.8811.06——
TellWhisper-DiarizenProcessing paradigm=multi-speaker ASR, Positional encoding=TS-RoPE2026.019.9311.15——
DicowProcessing paradigm=multi-speaker ASR, Positional encoding=absolute2026.0110.6211.33——
SortFormerProcessing paradigm=multi-speaker ASR, Positional encoding=absolute2026.0112.1612.88——
Whisper-DProcessing paradigm=multi-speaker ASR, Positional encoding=absolute2026.0112.4112.58——
Hyper-SD+WhisperProcessing paradigm=speaker diarization + single-speaker ASR (results alignment), Positional encoding=absolute2026.0142.5142.68——
Pyannote3+WhisperProcessing paradigm=speaker diarization + single-speaker ASR (results alignment), Positional encoding=absolute2026.0144.3444.74——
DicowPositional Encoding=absolute2026.01——9.4311.05
SortFormerPositional Encoding=absolute2026.01——11.7312.42
TellWhisper (ours)Positional Encoding=TS-RoPE2026.01——9.1410.42
TellWhisper-DiarizenPositional Encoding=TS-RoPE2026.01——9.1610.47
Whisper-DPositional Encoding=absolute2026.01——11.9612.25