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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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@revheadcrypto · Post #62 · 07/08/2024, 01:58 PM

Such a tragic incident, but thankfully the driver came out unharmed 🙏 Hennessy Venom F5 met with an accident while testing at speeds just below 400 km/h on the runway of Kennedy Space Center. The primary aim of the test was to evaluate new aerodynamic details. Regrettably, the crash occurred due to these enhancements: at approximately 386 km/h, the 1817-horsepower Venom F5 took flight and somersaulted several times. While the test prototype suffered damage, the driver remained uninjured. #Hennessy#VenomF5#Crash#HighSpeedTesting#Auto🚗✈️