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
写了三年博客，多多少少对写博客、建博客有一点了解，之前在 V2EX 看到这样一条帖子：想给一个女性作家朋友搭建一个博客网站，有什么成熟点的方案 网友评论了很多，有价值的也不少，我在此摘录几条我认为有用的： 1️⃣作家应该不是程序员吧？ 不明白为何那么多人还无脑推要用 git 的静态博客…… wordpress 吧，要是觉得卡顿，安利一下 zblogphp，很好用，主题也不少。 2️⃣Wordpress 插件多 技术成熟。。别信楼什么什么 github+hexo 的 别人又不是程序员，markdown 也做不了复杂的页面布局 3️⃣虚拟空间 + Typecho / Wordpress 或者博客平台.不要净搞些幺蛾子,还不好使(你朋友表示) 你以为很秀的操作在外行人眼中看来即不实际也不好使. 4️⃣大家还是偏极客了吧，程序员之外，愿意写 markdown，自己 git 提交的用户多吗？ 还是有一个易用的后台，广泛的插件、主题选择，也真没有比 wordpress 更好的了。 5️⃣推静态博客的不是蠢就是坏，又不是人人都是程序员。 也不建议自己搭，因为没人做 SEO，没啥用。 建议直接买成熟的平台，或者就地取材。 #博客
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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