This repository provides the Whisper-medium model converted to CTranslate2 format for significantly faster inference. It can be used via the faster-whisper Python package. The model supports transcription across many languages and is intended for developers who require efficient, local speech recognition.
Faster Whisper Medium sits in PulseGate's Voice, TTS & speech category. It focuses on transcribing audio files quickly and efficiently on local hardware using an optimized Whisper model. Faster Whisper Medium is an open-source project aimed at developers building speech applications. The project is open source (MIT). It runs on the web, API, and the command line.
Systran builds and maintains Faster Whisper Medium, and the product first shipped in 2018. The project is developed in the open on GitHub with 4.6k stars and 21 commits in the last 90 days. PulseGate's similarity index places it among 5 comparable tools. Among its 3 catalogued features are speech-to-Text, Fast Inference, and CTranslate2 Backend.
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