@airportroster · Post #706 · 04/14/2022, 08:52 AM
#编号571 #Rxnet#Some 收录时间: 2022.04.13 官网: some.best 商店截图 (转载) 📖-------> 目录 <-------📖
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Source channel @githubtrending · Post #15385 · Jan 2
#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
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@airportroster · Post #706 · 04/14/2022, 08:52 AM
#编号571 #Rxnet#Some 收录时间: 2022.04.13 官网: some.best 商店截图 (转载) 📖-------> 目录 <-------📖