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Whisper: multilingual speech recognition
An encoder-decoder speech model that transcribes many languages, translates speech into English and detects the spoken language, all from one network.
| Organization | OpenAI |
|---|---|
| Released | 2022 |
| Sizes | tiny (39M) to large (1.55B); turbo (809M) |
| License | MIT (code and weights) |
- Input audio is converted to log-Mel spectrograms
- Special decoder tokens pick the task: transcribe, translate or identify the language
- English-only
.envariants exist for the smaller sizes turbois a faster large-v3 variant, not trained for translation
Summary written by SolxLab. Weights and code belong to their authors and are distributed under the license shown; always check the official page before use.
FrameworkPyTorch
Repositoryhttps://github.com/openai/whisper
SpeechNLP
