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 is a Speech to text project. 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. Faster Whisper Medium is open source under the MIT license. Faster Whisper Medium is available on the web, API, and the command line.
Behind Faster Whisper Medium is Systran, and it 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. It operates in a well-populated space: PulseGate tracks 5 similar projects. Among its 3 catalogued features are speech-to-Text, Fast Inference, and CTranslate2 Backend.
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