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 Premium qanday ko'rinishda bo'ladi Telegram Premium rasmiy e'lon qilinishidan oldin eksklyuziv xususiyatlarini namoyish qiluvchi video paydo bo'ldi. ©️tginfo • 4 GB gacha bo'lgan fayllarni yuklash - Pullik obunachilar messenjer "bulut"iga 4 Gb gacha bo‘lgan katta hajmdagi fayllarni yuklashlari mumkin bo‘ladi. - Obuna boʻlmaganlar 2 GB gacha boʻlgan media fayllarni yuborishlari mumkin boʻladi. - Har bir foydalanuvchi 4 GB gacha bo'lgan fayllarni yuklab olishi mumkin bo'ladi. - Telegram xotirasi hamma uchun cheksiz bo'lib qoladi. • Yuklab olish yuqori tezligi - Media va hujjatlarni yuklab olish tezligida cheklovlar yo'q. - Ilovaning kesh xotirasiga kerakli fayllarni yuklab olish avvalgidan ko'p marta tezroq bo'ladi - bunday yuklashlar uchun yuqori ustuvorlik tufayli. • Ovozli xabarlarni matnga aylantirish - Kiruvchi audioni bir marta bosish bilan suhbatdoshingiz ovozini qulay matn formatiga tarjima qiling. - Tayyor matn xuddi shu pufak ichidagi ovozli xabar ostida ko'rsatiladi. • Reklamalarsiz - Premium egalari ommaviy kanallar tasmasida homiylik ostidagi postlarni ko‘rmaydi. • Profil uchun nishon - Premium abonenti nomi yonida joylashgan o'ziga xos yulduz nishoni uni boshqa foydalanuvchilardan ajratib turadi. • Animatsion avatarlar - Video avatarlarining animatsiyasi nafaqat foydalanuvchi profilini ochishda, balki suhbatlar ro'yxatida va dialog oynalarida ham ko'rsatilishi mumkin. - Premiumga ega bo'lmagan foydalanuvchilar uchun yuqorida ko'rsatilgan holatlarda video avatar oldindan tanlangan ramkada harakatsiz bo'lib qoladi. Batafsil Telegraph-maqolada! Telegram Premiumni xozircha sotib olish ilojsiz. Ushbu videolar esa Yopiq Beta test'dan olingan. #premium#beta 💚@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