@ysmodku · Post #4973 · 03/01/2023, 02:10 AM
人物:#甘雨 作者:#Dep 下载:https://wwze.lanzoub.com/ifFzE0ow7f6f 来源:https://discord.com/channels/971945032552697897/995556191419764838/1080277977834717295
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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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@ysmodku · Post #4973 · 03/01/2023, 02:10 AM
人物:#甘雨 作者:#Dep 下载:https://wwze.lanzoub.com/ifFzE0ow7f6f 来源:https://discord.com/channels/971945032552697897/995556191419764838/1080277977834717295
@ysmodku · Post #5258 · 03/05/2023, 03:51 AM
人物:#艾尔海森 作者:#Dep 下载:https://wwze.lanzoub.com/izIGa0p9xjli 来源:https://discord.com/channels/971945032552697897/995556191419764838/1081757211870625832
@ThemesM8 · Post #273 · 02/19/2022, 07:50 AM
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