Whisper Large V2 is a robust automatic speech recognition model trained on 680,000 hours of multilingual and multitask supervised data. It supports transcription, translation, and language identification. The model is widely used via the Transformers library for building speech-to-text applications.
Whisper Large is a Voice, TTS & speech project. It focuses on transcribing and translating speech audio into text across multiple languages. Whisper Large is an open-source project aimed at developers. Whisper Large is open source under the MIT license. It ships for the web and API.
OpenAI builds and maintains Whisper Large, and it first shipped in 2022. The project is developed in the open on GitHub with 105.3k stars. It operates in a well-populated space: PulseGate tracks 10 similar projects. Among its 3 catalogued features are Speech Recognition, Multilingual ASR, and transcription.
Summary written by a language model from the project’s public pages.
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