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Source channel @githubtrending · Post #14804 · Jun 7

#jupyter_notebook#android#asr#deep_learning#deep_neural_networks#deepspeech#google_speech_to_text#ios#kaldi#offline#privacy#python#raspberry_pi#speaker_identification#speaker_verification#speech_recognition#speech_to_text#speech_to_text_android#stt#voice_recognition#vosk Vosk is a powerful tool for recognizing speech without needing the internet. It supports over 20 languages and dialects, making it useful for many different users. Vosk is small and efficient, allowing it to work on small devices like smartphones and Raspberry Pi. It can be used for things like chatbots, smart home devices, and creating subtitles for videos. This means users can have private and fast speech recognition anywhere, which is especially helpful when internet access is limited. https://github.com/alphacep/vosk-api

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👀 Isiah Kiner-Falefa dice que los Blue Jays estaban "contentos" de enfrentarse a los Yankees en lugar de los Red Sox en la Serie Divisional de la Liga Americana porque eran un enfrentamiento "más fácil", escribe Tim Healey del Boston Globe. 🐦 Los Jays avanzaron después de ganar la serie contra los Yankees, 3 juegos a 1. Los Yankees en la temporada regular estaban empatados con Toronto con 94 victorias, pero los Blue Jays ganaron la división a través del desempate cara a cara. Los Red Sox, que ahora tienen a IKF en su equipo, terminaron en tercer lugar con 89 victorias. #️⃣#BlueJays#IKF 🗞 | t.me/MLB_Daily