Wenet Automatic #Speech#Recognition toolkit. https://github.com/wenet-e2e/wenet https://wenet.org.cn/wenet/
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TGTGInsighttelegram intelligenceLIVE / telegram public index
✅Telegram 8.8 versiyaga yangilandi 700 million foydalanuvchilar va Telegram Premium Telegram Premium • Va'da qilinganidek, Pulli funksiyalar yangi versiyada mavjud. Batafsil ← • AppStore-da Rossiya uchun narx, avval aytib o'tilganidek, oyiga 449 rublni tashkil etdi. • O'zbekiston uchun narx xozircha nomalum. Guruhga qo'shilish so'rovlari • Ommaviy guruh administratorlari endi qo‘shilish so‘rovini yoqishlari mumkin. • Guruhga kirishdan oldin foydalanuvchi "Ariza yuborish" tugmasini ko'radi - misol. • Funksiyani yoqish uchun siz Guruh profili boʻlimiga oʻtishingiz > “Tahrirlash” ni tanlashingiz > “Guruh turi” tugmasini bosishingiz > soʻng “Kim xabar yuborishi mumkin?” > "Faqat a'zolar" ni tanlang > va qo'shilish uchun arizalarni yoqing. Yaxshilangan "galochka" • Kanal, guruh yoki bot autentifikatsiyasini tasdiqlovchi ko‘k belgi endi chatning o‘zi ochilganda ham ko‘rsatiladi – misol. Yaxshilangan botlar • Dasturchilar endi rasm yoki videoni "Ushbu bot nima qila oladi" bo'limiga qo'shishlari mumkin - misol. Boshqa yangiliklar • Suhbatni oldindan ko‘rish yaxshilandi. Endi Android Telegram’da iOS’dagi kabi yozishmalar bo‘ylab harakatlanishingiz mumkin. • Androidda qo'shimcha ikonkalar. • Galereyaga rasm va videolarni suxbat turlari bo'yicha avtomatik saqlash funksiyasi qoʻshildi. • Fayllarni iOSda uchinchi tomon ilovalaridan jo‘natishda endi animatsion yuklab olish paneli ko‘rinadi. ▫️ Emojilar, stikerlar va fon rasmlari bilan animatsion avatar tuzuvchi (hozircha faqat macOS uchun). ▫️ Telegram’ning mobil va kompyuter versiyalari uchun 100 dan ortiq tuzatishlar va yaxshilanishlar: iOS’da yaxshilangan animatsiya silliqligi, Android qo‘ng‘iroqlari sifati. Bu yangilanish haqida batafsil: 👉🏻 VIDEO | 👉🏻 MAQOLA 📲PlayStore | 📲AppStore |📂APK #telegram#tgram 💚@TGraphUz | YouTube
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Vosk Speech Recognition Toolkit Vosk is an offline open source #speech#recognition toolkit. It enables speech recognition for 20+ languages and dialects - English, Indian English, German, French, Spanish, Portuguese, Chinese, Russian, Turkish, Vietnamese, Italian, Dutch, Catalan, Arabic, Greek, Farsi, Filipino, Ukrainian, Kazakh, Swedish, Japanese, Esperanto, Hindi, Czech. More to come. Vosk models are small (50 Mb) but provide continuous large vocabulary transcription, zero-latency response with streaming API, reconfigurable vocabulary and speaker identification. Speech recognition bindings implemented for various programming languages like Python, Java, Node.JS, C#, C++ and others. Vosk supplies speech recognition for chatbots, smart home appliances, virtual assistants. It can also create subtitles for movies, transcription for lectures and interviews. Vosk scales from small devices like Raspberry Pi or Android smartphone to big clusters. https://t.me/speech_recognition https://alphacephei.com/vosk https://github.com/alphacep/vosk-api
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SongRec An open-source Shazam client for Linux, written in Rust. Features: • Recognize audio from an audio file. • Recognize audio from the microphone. • Usage from both GUI and command line. • Provide an history of the recognized songs. • Continuous song detection. • Ability to recognize songs from your speakers rather than your microphone. Download: https://github.com/marin-m/SongRec#installation https://github.com/marin-m/SongRec @foss_desktop #music#shazam#recognition
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#Linux Desktop application that provides live #captioning FUTO Fellowship program interview; linux captions software 👉 Live Captions github: https://github.com/abb128/LiveCaptions 🔵 Q&A w/ billionaire alt-tech investor/philanthropist Eron Wolf https://www.youtube.com/watch?v=OJPmbcU-Vzo 🔵 FUTO Fellows program: https://futo.org/fellows/ 🔵 FUTO Youtube channel - @futotech ⚠️ Google's breaches of privacy have gone TOO FAR! https://www.youtube.com/watch?v=_vWAF13KigI #speech#recognition#stt#voice
djangoproject
@djangoproject · Post #448 · 2017. 09. 18. AM 11:30
https://medium.com/@GalarnykMichael/logistic-regression-using-python-sklearn-numpy-mnist-handwriting-recognition-matplotlib-a6b31e2b166a Logistic Regression using Python (#Sklearn, #NumPy, #MNIST, Handwriting #Recognition, #Matplotlib) #machine_learning.
https://writeout.ai #Transcribe and #translate any #audio file. 100% free to use. This website with source code available (it can be hosted locally) allows you to upload any audio file and receive a transcription and/or text translation. It uses OpenAI's Whisper API on the back end. Source on GitHub: https://github.com/beyondcode/writeout.ai #writeout#ai#speech#recognition