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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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ИХР РАН / ISC RAS

@isc_ras · Post #879 · 03/17/2023, 05:40 AM

На YouTube-канале Американского физического общества доступна запись замечательного вебинара Physical Review tutorial for authors: How to write a great scientific paper: https://www.youtube.com/watch?v=kUsSnsfDgfI Цитаты: "...the curse of knowledge..." "...There is no correlation between speaking English well and writing well..." "...Writing is storytelling..." "...Every paper tells (not more than) one story..." "...Find your own voice..." #webinar#APS

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