Showing 4 open source projects for "gnu linux"

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  • 1
    Whishper

    Whishper

    Transcribe any audio to text, translate and edit subtitles 100% locall

    Open-source, local-first audio transcription and subtitling suite with a simple web UI. Thanks to open-source technologies, Whishper can run 100% offline. Your data never leaves your computer. Whishper allows you to translate your transcriptions to and from more than 60 languages thanks to Argos Translate and LibreTranslate. Download the transcriptions in many formats (json, txt, vtt, srt). Easily edit your subtitles right in the Web-UI.
    Downloads: 8 This Week
    Last Update:
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  • 2
    Conversations

    Conversations

    App in java for chatting to a generative A.I. (involving tts and stt)

    Java application for chatting to generative AI Llama3. * The user can speak into the microphone (speechToText), edit the recognized text and send it to the AI. * The AI ​​responds and the server returns that response in real time, and the sentences converted to audio (textToSpeech), and the application broadcasts them through the speaker. The application is prepared so that only one user occupies the server's resources, so if the server is busy, in theory it will not let you...
    Downloads: 0 This Week
    Last Update:
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  • 3
    Speech Recognition in English & Polish

    Speech Recognition in English & Polish

    Speech recognition software for English & Polish languages

    Software for speech recognition in English & Polish languages. Basic versions of SkryBot: 1. SkryBot Home Speech (English Language) - https://sourceforge.net/projects/skrybotdomowy/files/ReleasesEnglish/InstalatorSkryBotHomeSpeechDemo-2.6.9.18117.exe/download 2. SkryBot DoMowy (Polish Language) - https://sourceforge.net/projects/skrybotdomowy/files/ReleasesPolish/InstalatorSkryBotDoMowyDemo-2.4.9.18117.exe/download More...
    Downloads: 7 This Week
    Last Update:
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  • 4
    MDictate

    MDictate

    Speech to text using python, pocketsphinx, ready to deploy

    Automated speech recognition software is extremely cumbersome. This project's aim is to incrementally improve the quality of an open-source and ready to deploy speech to text recognition system. Runs on Windows using the mdictate.exe, but the core workings are found in the mdictate.py script which should work on Windows/Linux/OS X. In version 1.0, we use pocketsphinx' default setup with a basic graphic interface.
    Downloads: 0 This Week
    Last Update:
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