3 projects for "speaker" with 2 filters applied:

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  • 1
    Music Assistant

    Music Assistant

    Music Assistant is a free, opensource Media library manager

    Music Assistant Server is the core backend for Music Assistant, a free and open-source music library manager for local and online music sources. It connects streaming services, local files, metadata providers, and many speaker ecosystems into one centralized music system. The server is designed to run on an always-on device such as a Raspberry Pi, NAS, Intel NUC, or similar home server. It can work as a standalone product, but it is especially tailored for Home Assistant users who want automation, voice control, and smart-home playback workflows. Music Assistant supports features such as library matching, metadata enrichment, gapless playback, crossfade, volume normalization, synchronized playback, announcements, and queue transfers. ...
    Downloads: 10 This Week
    Last Update:
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  • 2
    Fulcro

    Fulcro

    A library for development of single-page full-stack web applications

    Fulcro is a batteries-included, full-stack library for building data-driven web applications in Clojure and ClojureScript. It integrates seamlessly with React, supports web, native, and desktop (Electron) targets, and enables strong local reasoning while facilitating rapid development and scalable production-level UIs. The rewrite of Fulcro Inspect is available via the releases page of Fulcro Inspect. And there are preliminary instructions for using it with the latest Fulcro. The alpha...
    Downloads: 0 This Week
    Last Update:
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  • 3
    SVoice (Speech Voice Separation)

    SVoice (Speech Voice Separation)

    We provide a PyTorch implementation of the paper Voice Separation

    SVoice is a PyTorch-based implementation of Facebook Research’s study on speaker voice separation as described in the paper “Voice Separation with an Unknown Number of Multiple Speakers.” This project presents a deep learning framework capable of separating mixed audio sequences where several people speak simultaneously, without prior knowledge of how many speakers are present. The model employs gated neural networks with recurrent processing blocks that disentangle voices over multiple computational steps, while maintaining speaker consistency across output channels. ...
    Downloads: 2 This Week
    Last Update:
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