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Radford and colleagues: Whisper robust speech recognition

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.

What is recorded here?

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.

Source-linked catalogue note. A detailed explanatory guide has not yet been prepared for this entry.

Scientific scope

Whisper's September 2022 release preceded the December 2022 arXiv posting. Reported robustness does not imply the best specialized model on every speech benchmark.

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People and systems

Alec Radford; Jong Wook Kim; Tao Xu; Greg Brockman; Christine McLeavey; Ilya Sutskever

Complete named paper byline. Human research, source-reported system execution and experimental validation are distinct; individual effort shares are not measured.

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English catalogue narrative

Radford and colleagues: Whisper robust speech recognition

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

Whisper's September 2022 release preceded the December 2022 arXiv posting. Reported robustness does not imply the best specialized model on every speech benchmark.

Reading status

This is a source-linked WRS catalogue note. A full explanatory guide and independent scientific reconstruction have not been completed for this entry. Read the identified original work for its complete narrative and arguments.

People and systems

Alec Radford; Jong Wook Kim; Tao Xu; Greg Brockman; Christine McLeavey; Ilya Sutskever

Complete named paper byline. Human research, source-reported system execution and experimental validation are distinct; individual effort shares are not measured.

Original sources