Description
Whisper is an open-source automatic speech recognition system trained on 680,000 hours of multilingual and multitask supervised data collected from the web. It is designed to be robust to accents, background noise and technical language, and can transcribe and translate speech in multiple languages into English. It is a simple end-to-end approach, implemented as an encoder-decoder Transformer. It is also capable of performing language identification and phrase-level timestamps. It is designed to be easy to use and have high accuracy, allowing developers to add voice interfaces to more applications.
GitHub Repository
Note: This is a GitHub repository, meaning that it is code that someone created and made available for others to use. It typically requires some technical knowledge to set up and run.
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