本ページの本文は英語で提供されています。タイトルと導入は日本語化されています。
これは何か
Whisper is a speech-recognition model OpenAI released in September 2022, with open weights and code. It was trained on roughly 680,000 hours of multilingual, multitask audio from the web and frames transcription, translation and language identification as a single sequence-to-sequence problem. The model is an encoder–decoder that takes 30-second audio segments as input. It shipped in several sizes from tiny to large, with the large version at about 1.55 billion parameters.
なぜ覚えておく価値があるか
With open weights it made multilingual speech recognition broadly usable, becoming the default choice in many speech apps and transcription tools, and stands as a leading example of weak supervision with large-scale data in speech.
主な仕様
- Parameters
- About 1.55B (large)
- Training data
- About 680,000 hours of audio
- Languages
- About 99
- Open weights
- Yes (MIT licence)
- Architecture
- Encoder–decoder transformer