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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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Host Testing and evaluation

@HostEvaluate · Post #797 · 07/18/2022, 10:55 AM

#Karabro#SE Host Provider: Karabro Location: Sweden Specification: 1vCore(E5 2690) | 2GB RAM | 20GB Disk | Unlimited @ 100Mbps | $4.77 / Mo BGP Session: Yes https://paste.red/p/17b0718fcfae 匿名投稿。这么拉稀的性能现在真的是不多见了。回程联通走 cogent, 电信 amsix, 移动 telia. 看速度还是不错的样子。有大流量需求的或许可以考虑下,据称流媒体解锁不错。

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