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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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English Speakers

@English_Speakers · Post #5139 · 12/23/2022, 04:46 PM

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#converisation #Beginner #Daily_life @English_speakers ⚜➖⚜➖⚜➖⚜➖⚜➖ A: I’m going to take a nap. B: You should unplug the phone. A: That’s a good idea. B: Do you want me to wake you in an hour? A: No, thanks. Just let me sleep until I wake up. B: I’ll start dinner at 6:00. A: Okay. I think I’ll be awake by then. B: If not, your nose will wake you up. A: You mean I will smell the food cooking? B: You might even dream about dinner A: I don’t think I’m going to dream about anything. I’m really tired. B: Have a nice nap. Listen and practice 👇

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