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Radford and colleagues: Whisper robust speech recognition

Contribution grade

Speech recognition · Human-designed AI research method or resource

Reference score48,000Provisional editorial estimate of this exact contribution; its grade is assessed separately.

What changed

Trained a multilingual, multitask speech-recognition model on 680,000 hours of weakly supervised audio and reported improved zero-shot robustness across diverse test sets.

Scientific scope

Trained a multilingual, multitask speech-recognition model on 680,000 hours of weakly supervised audio and reported improved zero-shot robustness across diverse test sets. Scope limitation: Whisper's September 2022 release preceded the December 2022 arXiv posting. Reported robustness does not imply the best specialized model on every speech benchmark.

Evidence

The retained primary-source abstract, bibliographic record and stated review scope support this provisional assessment. No independent experimental replication by WRS is claimed. Whisper's September 2022 release preceded the December 2022 arXiv posting. Reported robustness does not imply the best specialized model on every speech benchmark.

Contributors

Provisional WRS assessment, edition 2026-10-16.1. Independent expert calibration is pending. This grade does not certify correctness or assign ownership.

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