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Automatic Speech Recognition on VCTK noisy

1.52WERREAD
0.84765.38639.92514.4637Jun 3, 2026

Evaluation results

MethodLinks
READCombination Strategy=ROVER integrated with segment-level combination2026.061.52—
ROVERStrategy=ROVER baseline2026.061.84—
Best single-systemSNR=20dB2026.062.03—
ROVERSNR=20dB2026.062.09—
READCombination Strategy=Segment-level2026.062.18—
READ (Segment-level combination)SNR=20dB2026.062.2—
READCombination Strategy=Sentence-level2026.062.36—
Qwen2.5-OmniCategory=Candidate Model2026.062.47—
READ (Segment-level combination)SNR=10dB2026.062.68—
Best single-systemSNR=10dB2026.062.71—
NeMoCategory=Candidate Model2026.062.85—
ROVERSNR=10dB2026.063.4—
OracleDescription=Topline for rescoring2026.066.14—
READRescoring Granularity=Sentence-level2026.067.19-2.97
Whisper large-v3Hypothesis Rank=1st2026.067.41—
Whisper large-v3Hypothesis Rank=2nd2026.068.76—
Whisper large-v3Category=Candidate Model2026.068.87—
Whisper large-v3Hypothesis Rank=3rd2026.069.21—
Whisper large-v3Hypothesis Rank=4th2026.0610.85—
Whisper large-v3Hypothesis Rank=5th2026.0612.18—
READ (Segment-level combination)SNR=0dB2026.0612.77—
Best single-systemSNR=0dB2026.0613.28—
ROVERSNR=0dB2026.0617.65—
Whisper mediumCategory=Candidate Model2026.0618.33—