urjuyaimon09 Faster-Whisper
High-performance local speech-to-text using faster-whisper.
Setup
- Run Setup Script
Execute the setup script to create a virtual environment and install dependencies. It will automatically detect NVIDIA GPUs for CUDA acceleration.
./setup.sh
Requirements:
Python 3.10 or later ffmpeg (installed on the system) Usage
Use the transcription script to process audio files.
Basic Transcription ./scripts/transcribe audio.mp3
Advanced Options Specific Model: ./scripts/transcribe audio.mp3 --model large-v3-turbo Word Timestamps: ./scripts/transcribe audio.mp3 --word-timestamps JSON Output: ./scripts/transcribe audio.mp3 --json VAD (Silence Removal): ./scripts/transcribe audio.mp3 --vad Available Models distil-large-v3 (default): Best balance of speed and accuracy. large-v3-turbo: Recommended for multilingual or highest accuracy tasks. medium.en, small.en: Faster, English-only versions. Troubleshooting No GPU detected: Ensure NVIDIA drivers and CUDA are correctly installed. CPU transcription is significantly slower. OOM Error: Use a smaller model (e.g., small or base) or use --compute-type int8.