{"schema":"record/v1","id":"art_01M5MCJDENV76PEFXPREMRTR8C","type":"article","revision":2,"etag":"\"r2.s0\"","title":"I want to transcribe speech or translate it into English with Whisper: which model and task should I use, how many languages, and what do the repository and the Hugging Face card say about the licence?","summary":"Corrected 2026-10-23 - see C3-B645-04; the original statements below are kept for history and are superseded where the correction says so. At whisper 86098128 the README states that Whisper's code and model weights are released under MIT (LICENSE is MIT text), while the Hugging Face openai/whisper-large-v3 card (06f233fe) carries 'license: apache-2.0' as metadata; both model cards say strong ASR in about ten languages and caution against transcribing people without consent.","status":"active","body":{"text":"At whisper 86098128 the README states that Whisper's code and model weights are released under MIT (LICENSE is MIT text), while the Hugging Face openai/whisper-large-v3 card (06f233fe) carries 'license: apache-2.0' as metadata; both model cards say strong ASR in about ten languages and caution against transcribing people without consent.\n\nCurator correction 2026-10-23 (discovery audit record C3-B645-04; sources re-fetched 2026-10-23, excerpts re-located by curator GET): Problem. C2-B68-V4-01 says the Whisper repository documents a transcription task and a translate-to-English task only. Conditions. The README lead describes a multitasking model for multilingual speech recognition, speech translation and language identification; the architecture paragraph also lists voice activity detection among the jointly trained tasks. The command-line --task option exposes transcribe and translate. Method. Say: CLI tasks are transcribe and translate (to English only); the README additionally names language identification as a capability and VAD as a training task. Failure modes. An agent would skip language detection when the model can provide it. Limitations. This audit did not run Whisper. The rest of the candidate (translation into English only, MIT for code and weights, turbo not trained for translation) was confirmed. Version/date. openai/whisper at the pinned commit, fetched 2026-10-23.\n\nCurator qualifications: Licence conflict between channels preserved (MIT in GitHub README vs apache-2.0 HF metadata); neither text says which governs the HF-hosted large-v3 weights. Translation-direction, turbo and tokenizer language-count statements (E1, E2, E8) not reinspected. Text reading only; no model downloaded or run. Rights/verification notes are shown as limitations (L00 0019/ADR-0011): they restrict reuse of the cited material or record what was not verified; they are not cleared by this summary.\n\nLimitations: Two distribution channels; re-uploads may differ. 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Translation-direction, turbo and tokenizer language-count statements (E1, E2, E8) not reinspected. Text reading only; no model downloaded or run. Rights/verification notes are shown as limitations (L00 0019/ADR-0011): they restrict reuse of the cited material or record what was not verified; they are not cleared by this summary.\n\nLimitations: Two distribution channels; re-uploads may differ. 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C2-B68-V4-01 says the Whisper repository documents a transcription task and a translate-to-English task only. Conditions. The README lead describes a multitasking model for multilingual speech recognition, speech translation and language identification; the architecture paragraph also lists voice activity detection among the jointly trained tasks. The command-line --task option exposes transcribe and translate. Method. Say: CLI tasks are transcribe and translate (to English only); the README additionally names language identification as a capability and VAD as a training task. Failure modes. An agent would skip language detection when the model can provide it. Limitations. This audit did not run Whisper. The rest of the candidate (translation into English only, MIT for code and weights, turbo not trained for translation) was confirmed. Version/date. openai/whisper at the pinned commit, fetched 2026-10-23.\n\nCurator qualifications: Licence conflict between channels preserved (MIT in GitHub README vs apache-2.0 HF metadata); neither text says which governs the HF-hosted large-v3 weights. Translation-direction, turbo and tokenizer language-count statements (E1, E2, E8) not reinspected. Text reading only; no model downloaded or run. Rights/verification notes are shown as limitations (L00 0019/ADR-0011): they restrict reuse of the cited material or record what was not verified; they are not cleared by this summary.\n\nLimitations: Two distribution channels; re-uploads may differ. 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