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Source channel @githubtrending · Post #15495 · Feb 15

#c_lang Moonshine Voice is an open-source toolkit for fast, private on-device speech-to-text that beats Whisper's accuracy and speed (up to 5x faster, 6.65% vs. 7.44% WER) with tiny 26MB-245M models for live apps on phones, Raspberry Pi, and more. It streams results as you speak, supports English/Spanish/Mandarin/etc., and handles transcription/commands easily via simple APIs on Python/iOS/Android. You benefit by building responsive voice apps offline without accounts, keys, or cloud costs—perfect for real-time tools like translators or assistants. https://github.com/moonshine-ai/moonshine

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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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