Showing 3 open source projects for "separation"

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  • 1
    OpenVINO AI Plugins for Audacity

    OpenVINO AI Plugins for Audacity

    A set of AI-enabled effects, generators, and analyzers for Audacity

    A set of AI-enabled effects, generators, and analyzers for Audacity. These AI features run 100% locally on your PC, no internet connection is necessary. OpenVINO™ is used to run AI models on supported accelerators found on the user's system such as CPU, GPU, and NPU.
    Downloads: 138 This Week
    Last Update:
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  • 2
    Spleeter

    Spleeter

    Deezer source separation library including pretrained models

    Spleeter is the Deezer source separation library with pretrained models written in Python and using Tensorflow. It makes it easy to train music source separation models (assuming you have a dataset of isolated sources), and provides already trained state of the art models for performing various flavours of separation. 2 stems and 4 stems models have state of the art performances on the musdb dataset.
    Downloads: 111 This Week
    Last Update:
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  • 3
    ISSE

    ISSE

    An Interactive Source Separation Editor

    In applications such as audio denoising, music transcription, music remixing, and audio-based forensics, it is desirable to decompose a single-channel recording into its respective sources. To perform such tasks, we present a new software tool to perform source separation by painting on time-frequency visualizations of sound. Initial results shows the software can achieve state-of-the-art separation results compared to prior work.
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    Downloads: 27 This Week
    Last Update:
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