This repository provides the Whisper large-v3-turbo model converted to CTranslate2 format for use with faster-whisper and other CTranslate2-based projects. It supports transcription of audio in 100 languages with significantly improved inference speed. The model is intended for developers integrating fast, local speech recognition into applications.
In the Voice, TTS & speech space, Faster Whisper Large V3 Turbo Ct2 takes a focused approach. It focuses on running high-speed automatic speech recognition locally using optimized CTranslate2 inference. It is built as an open-source project for developers. Faster Whisper Large V3 Turbo Ct2 is open source under the MIT license. The product ships for the web and the command line.
deepdml builds and maintains Faster Whisper Large V3 Turbo Ct2, and the product first shipped in 2018. Development happens publicly on GitHub with 4.6k stars and 21 commits in the last 90 days. It operates in a well-populated space: PulseGate tracks 8 similar tools.
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