Wenet Automatic #Speech#Recognition toolkit. https://github.com/wenet-e2e/wenet https://wenet.org.cn/wenet/
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DN42 access 本服务为那些无法轻松访问自身网络的用户以及希望体验 dn42 但又不想承担维护自有网络成本的用户提供 dn42 连接 默认情况下，地址从/96地址块中分配，如果您希望租用独立的/96前缀或更大的地址空间，请按照联系方式联系我 所有公开的PoP均已屏蔽来自中国境内的 IP 地址。如果您确实需要dn42 access，请与我联系并提供合理的理由 该服务由AS4242423377提供 - - - - - - - The service provides DN42 connectivity to members who cannot easily access their own networks, as well as to those who would like to explore DN42 without the overhead of maintaining their own network. By default, addresses are allocated from a /96 block. If you wish to lease a dedicated /96 prefix or a larger address space, please contact me using the methods provided in the contact information. All publicly accessible PoP are blocked for IPs originating from within China. DN42 access from within China is not publicly available. If you genuinely require access, please contact me and provide a valid justification. Hosted by AS4242423377. Policy 本服务需要花费时间和金钱才能运行，但为了您的利益，我们免费提供。使用本服务是一种特权，而非权利。您必须合理使用本服务，以确保其他用户也能继续享受同样的便利。任何滥用、误用或干扰服务或其他用户的行为都可能导致您的访问权限立即被暂停或终止。 滥用行为包括但不限于： - 过度使用资源 - 黑客攻击、病毒、木马等，或任何其他可能损害服务或对服务及其用户造成风险的干扰行为 - 传播可能导致民事或刑事责任的不良内容 - - - - - - - This service require real time and financial resources to operate, yet are provided free of charge for your benefit. Access to the services is a privilege, not a right. You must use the services responsibly and considerately to ensure that other users can continue to enjoy the same opportunities. Any misuse, abuse, or activities that disrupt the service or other users may result in immediate suspension or termination of access. Abuse could include, but is not limited to: - Excessive use of resources - Hacking, viruses, trojans etc or any other disruption that could harm or create risk to the services or its users - Distribution of objectional content that could create a civil or criminal liability PoP ## Toronto, Canada Prefix: fdb6:fc6a:e66c:724f:fad1:d2cf::/96 Zerotier: 4753cf475f65b0fb ## Los Angeles, USA coming soon #announcement#service
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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