Showing 4 open source projects for "mit app inveter"

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  • Find Hidden Risks in Windows Task Scheduler Icon
    Find Hidden Risks in Windows Task Scheduler

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  • 1
    clone-voice

    clone-voice

    A sound cloning tool with a web interface, using your voice

    Clone-voice is a local voice-cloning tool that lets you synthesize speech in any target voice or convert one recording into another voice using the same timbre. It is built around Coqui’s XTTS-v2 model, so it inherits multilingual support and modern neural TTS quality while wrapping it in a user-friendly desktop workflow. The app is designed to be very easy to use: you download a precompiled package, double-click app.exe, and it launches a browser-based web interface where you control...
    Downloads: 19 This Week
    Last Update:
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  • 2
    Chatterbox

    Chatterbox

    SoTA open-source TTS

    ...Try it now on our Hugging Face Gradio app. If you like the model but need to scale or tune it for higher accuracy, check out our competitively priced TTS service (link). It delivers reliable performance with ultra-low latency of sub-200ms—ideal for production use in agents, applications, or interactive media.
    Downloads: 4 This Week
    Last Update:
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  • 3
    Matcha-TTS

    Matcha-TTS

    A fast TTS architecture with conditional flow matching

    Matcha-TTS is a non-autoregressive neural text-to-speech architecture that uses conditional flow matching to generate speech quickly while maintaining natural quality. It models speech as an ODE-based generative process, and conditional flow matching lets it reach high-quality audio in only a few synthesis steps, which greatly reduces latency compared to score-matching diffusion approaches. The model is fully probabilistic, so it can generate diverse realizations of the same text while still...
    Downloads: 0 This Week
    Last Update:
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  • 4
    Audio Webui

    Audio Webui

    A webui for different audio related Neural Networks

    Audio Webui is a Gradio-based web user interface that unifies a wide range of audio-related neural networks under a single, accessible front end. It is designed as an “all-in-one” environment where users can experiment with text-to-speech, voice cloning, generative music, and other neural audio models without writing boilerplate code. The project supports multiple back-end models and toolchains (such as Bark, RVC, AudioLDM, Audiocraft, and other text-to-audio or voice-cloning tools),...
    Downloads: 0 This Week
    Last Update:
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