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 sits in PulseGate's Speech to text category. 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. The project is open source (MIT). It runs on the web and the command line.
Behind Faster Distil Whisper Medium.en is Systran, and it 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.
Summary written by a language model from the project’s public pages.
What PulseGate has recorded for this listing
Closest matches by what these projects do