This repository provides a CTranslate2 conversion of the distil-whisper/distil-medium.en model for fast English speech recognition. It is designed for use with faster-whisper and other CTranslate2-based projects, offering significantly faster inference than the original PyTorch model while maintaining accuracy.
Faster Distil Whisper Medium.en is a Voice, TTS & speech product. It focuses on running fast, efficient English automatic speech recognition on local hardware using optimized model formats. It is built as an open-source project for developers. Faster Distil Whisper Medium.en is open source under the MIT license. It runs on the web and the command line.
Behind Faster Distil Whisper Medium.en is Systran, and the product first shipped in 2018. Development happens publicly on GitHub with 4.6k stars and 21 commits in the last 90 days. Key capabilities include Speech Recognition, CTranslate2 Format, and FP16 Quantization.
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