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
🚀 Exciting Project Announcement! 🚀 I'm thrilled to share that I’ve developed GitInvite – an open-source platform that makes collaborating on GitHub easier than ever! 🎉 💡 What is GitInvite? GitInvite allows users to generate secure GitHub repository invite links that can be shared with collaborators. No more manual collaborator additions! With just one link, you can grant access to your repos in a secure and efficient way. 🌟 Key Features: - Generate secure invite links to share repository access. - Cancel invite links anytime to prevent further use. - Revoke access from users who gained access via the link. - Easy collaboration for developers, teams, and open-source projects. 🎯 Beta Stage: GitInvite is currently in its beta stage, and I'm actively seeking feedback and suggestions for improvements. I would love to hear from the developer community to help shape the future of this tool! 💻 Want to try it out? You can access GitInvite here: https://gitinvite.vercel.app/ 🛠 Developers: The code is open-source, and I welcome contributions! Check out the GitHub repo here: https://github.com/rahulps1000/GitInvite Feel free to share your feedback, open issues, or contribute to the project! Let’s make GitHub collaboration even smoother together. 🙌 #GitHub#OpenSource#NextJS#GitInvite#Collaboration#Beta#WebDevelopment
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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 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