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Post #15385 826
#python #deep_learning #inference #openai #quantization #speech_recognition #speech_to_text #transformer #whisper

Faster-Whisper is a fast version of OpenAI's Whisper that transcribes audio up to 4x quicker with the same accuracy, using less memory on CPU or GPU—benchmarks show it beats original Whisper (e.g., 1m03s vs 2m23s for 13-min audio on GPU). Install via `pip install faster-whisper`, no FFmpeg needed, and use simple Python code like `WhisperModel("large-v3").transcribe("audio.mp3")` for segments with timestamps. You benefit by getting quick, efficient speech-to-text for real-time apps, saving time and resources on long files or batches.

https://github.com/SYSTRAN/faster-whisper
GitHub GitHub - SYSTRAN/faster-whisper: Faster Whisper transcription with CTranslate2 Faster Whisper transcription with CTranslate2. Contribute to SYSTRAN/faster-whisper development by creating an account on GitHub.
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