Audio AI Itọsọna

Idanimọ Ọrọ Ọrọ whisper

Whisper is OpenAI’s multilingual speech-recognition model, trained with large-scale weak supervision on approximately 680,000 hours of web-collected audio.

Gbọ si itọsọna yiiAI-ṣe afihan · ~1 min

Lori iwe yi1 iseju kika
  1. Akopọ
  2. Jin Dive
  3. Real-World imuse
  4. Ọjọ iwaju ti idanimọ Ọrọ Ọrọ whisper
  5. Fifi o sinu iwa
  6. Tesiwaju Ṣiṣawari
  7. Awọn ibeere ti a beere nigbagbogbo

Akopọ

Its encoder-decoder design supports transcription, English translation, language identification, and timestamps, while accuracy varies by language, recording, and task.

Jin Dive

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.

Real-World imuse

Ṣiṣẹda awọn iwe afọwọkọ ti o ṣee ṣe wiwa ati awọn akọle fun awọn adarọ-ese ati awọn fidio YouTube

Ṣiṣe awọn ohun elo ipade ifiwe laaye-awọn akọsilẹ ti o ṣe agbejade awọn akopọ lati Sun tabi ohun ohun Ẹgbẹ

Titumọ awọn ifọrọwanilẹnuwo ni ede ajeji taara si ọrọ Gẹẹsi fun awọn oniroyin

Ṣiṣe awọn irinṣẹ iraye si iṣakoso ohun ati ilana fun awọn olumulo ti ko le tẹ

Ọjọ iwaju ti idanimọ Ọrọ Ọrọ whisper

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.

Fifi o sinu iwa

Kini idi ti o ṣe pataki

  • Wiwọle ati arọwọto. O ṣe ilọsiwaju iraye si nipasẹ transcription, alaye, ati awọn atọkun ohun.
  • Iye owo ati isuna. Awọn ẹgbẹ Media le firanṣẹ ohun didan yiyara pẹlu awọn isuna-owo kekere.
  • Iyara ati iwọn. Awọn ọna ṣiṣe ti nkọju si alabara le ṣe ilana awọn ibaraẹnisọrọ sisọ ni iwọn nla.

Ṣọra fun

  • ilokulo ohun ati awọn ewu afarawe ṣe pọ si nigbati igbanilaaye ba sonu.
  • Yiye le ju silẹ kọja awọn asẹnti, awọn ede-ede, tabi awọn agbegbe alariwo.
  • Ohun afetigbọ sintetiki le jẹ aṣiṣe fun ọrọ ododo laisi isamisi to yege.

Next awọn igbesẹ

  1. Gba ifọkansi ti o fojuhan fun gbigba ohun, ti ẹda, ati ilotunlo.
  2. Didara idanwo kọja awọn agbohunsoke oniruuru ati awọn ipo abẹlẹ.
  3. Ṣetumo nigbati eniyan gbọdọ ṣe atunyẹwo tabi fọwọsi awọn abajade.
  4. Aami ohun sintetiki ki o tọju awọn igbasilẹ provenance fun iṣiro.

Tesiwaju Ṣiṣawari

Ìwé ìròyìn ọfẹ

Gba ìkànìyàn AI ojoojúmọ́

Ìtàn AI mẹta tó jẹ́rìí ní gbogbo owurọ́ ọjọ́ iṣẹ́, kọ́wé ní Gẹ̀ẹ́sì tó rọrùn. Ọfẹ́ fún gbogbo àkókò, kò sí ìpolówó.

Ìmeèlì kan ní gbogbo ọjọ́ iṣẹ́. Yọkúrò ní ìkànìyàn ní ìkànìyàn kan. A kò ta tàbí pín àdírẹ́sì rẹ.

Ṣe idanwo fun ara rẹ

Take the Whisper Speech Recognition quiz

Ìdáhùn lẹ́sẹ̀kẹsẹ̀ lórí gbogbo ìdáhùn, àti iwe-ẹ̀rí tó lè pin pẹ̀lú ID tó lè jẹ́rìí lẹ́yìn tí o bá kọ́ ẹ̀kọ́.

Bẹrẹ adanwo

Ṣe àtìlẹ́yìn ẹ̀kọ́ AI ọfẹ́. AI Understanding jẹ́ àjọ àìní èrè 501(c)(3) — kò sí ìpolówó, kò sí àkúnya owó, ní gbogbo àkókò. Ṣe ẹbun kan

Awọn ibeere ti a beere nigbagbogbo

Kini Idanimọ Ọrọ Whisper?

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.

O fẹrẹ to wakati melo ti ohun ohun ti a ti kọ Whisper lori?

Whisper ti ni ikẹkọ lori bii awọn wakati 680,000 ti awọn ede lọpọlọpọ, ohun afetigbọ multitask ti a gba lati oju opo wẹẹbu, ipilẹ data ti o tobi pupọ ati oniruuru.

Aṣoju agbedemeji wo ni Whisper ṣe iṣiro lati inu ohun aise ṣaaju ki kooduopo naa?

Whisper ṣe iyipada gige ohun iṣẹju-aaya 30 kọọkan sinu ikanni 80 log-Mel spectrogram kan, eyiti awọn ilana fifi koodu Transformer.

Bawo ni awoṣe Whisper kan ṣe ṣe awọn iṣẹ-ṣiṣe pupọ bi transcription ati itumọ?

Awọn ipo whisper lori awọn ami ami pataki ni ibẹrẹ iyipada ti o sọ fun ede, iṣẹ-ṣiṣe, ati boya lati gbe awọn aami akoko jade.

Kini faaji nkankikan gbogbogbo wo ni Whisper lo?

Whisper jẹ Ayipada koodu-iyipada koodu: oluyipada naa ka spectrogram ati oluyipada ṣe ipilẹṣẹ awọn ami ọrọ ni aifọwọyi.

Kini idi ti Whisper ni pataki paapaa logan ni akawe si awọn eto ASR iṣaaju?

Ikẹkọ lori awọn oye pupọ ti awọn oriṣiriṣi, ohun afetigbọ gidi-aye (awọn asẹnti, ariwo, ọrọ agbekọja) fun Whisper ni agbara lati inu apoti ti o lagbara laisi atunṣe agbegbe-kọọkan.