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Speech Recognition for People with Atypical Speech
Audio IA
GUIDE IA Audio
Whisper is OpenAI’s multilingual speech-recognition model, trained with large-scale weak supervision on approximately 680,000 hours of web-collected audio.
Déglul tegtal biiIA-nettali · ~1 min
Its encoder-decoder design supports transcription, English translation, language identification, and timestamps, while accuracy varies by language, recording, and task.
Introduced in 2022, Whisper is a Transformer encoder-decoder trained on approximately 680,000 hours of multilingual audio paired with transcripts or translation text collected from the web. The data is uneven across languages, and performance varies by language and task. Whisper processes audio in 30-second chunks and uses task and language tokens to select transcription, English translation, or timestamped output. Released weights and inference code are under the MIT license.
Defar ci boppam ay mbind yuñ mëna seetee ak ay mbind ngir podcast yi ak wideo YouTube
Dafay doxal aplikaasioŋu notu ndaje yiy génne ay resumé ci Zoom wala Teams audio
Tekki janoo ci làkku jàmbur ci làkku angale ngir taskati xibaar
Tabax jumtukaayi jëfandikoo gi ñuy doxalee ci baat ak dikte ngir jëfandikukat yi mënu bind
Whisper’s release supports transcription and captioning applications. Real-world performance depends on language coverage, audio quality, accents, domain vocabulary, and evaluation conditions. Measure error rates on representative recordings, with human review where transcripts have consequential use.
Bulletin bu amul fayda
Ñatti jaar-jaari IA yuñ firndeel bis bu nekk ci ayu-bis bi, ñu bind leen ci Àngle bu leer. Gratis ba fàww, amul yëgle.
Benn email bis bu nekk ci ayu-bis bi. Benn klik nga dindi abonemaa bi. Dunu musa jaay wala séddoo sa adres.
Nattal sa bopp
Feedback ci saasi ci bépp tontu, ak sertifikaa buñ mëna séddoo ak ID buñ mëna saytu soo jàllee ci njàng mi.
Jàppale njàngum IA te doo fay. AI Understanding mbootaay la buy def te Yàlla tax — amul yëgle, amul paywall, musul am. Defal ab sarax
Whisper is OpenAI’s multilingual speech-recognition model, trained with large-scale weak supervision on approximately 680,000 hours of web-collected audio. Its encoder-decoder design supports transcription, English translation, language identification, and timestamps, while accuracy varies by language, recording, and task.
Whisper dañu ko tàggat ci lu tollu ci 680,000 waxtu ci làkk yu bari, audio yu bari liggéey yuñ dajale ci web bi, di done yu bari te wuute lool.
Whisper dafay soppi bépp paccu audio bu 30 sikon ci spectrogram log-Mel bu am 80 chaine, bi encodeur Transformateur bi di doxalee.
Whisper dafay am ay token yuñ jagleel ci ndoortelu decodage bi koy wax làkk wi, liggéey bi, ak ndax dafa wara génne timestamps.
Whisper enkodeer-dekodeer la: enkodeer bi dafay jàng spectrogram bi, dekodeer bi dafay defar ay token bind ci anam wuy dellu ginaaw.
Tàggat ci audio yu bari te wuute, ci àdduna dëgg (aksan, bruit, crosstalk) moo jox Whisper doole ju génn ci boyet bi te amul tuning ci domen bu nekk.
Weyal di jàng
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Ci bi mu melGis bi ci topp
Speech Recognition for People with Atypical Speech
Audio IA