Showing 2 open source projects for "multi-objective optimization"

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    EnCodec

    EnCodec

    State-of-the-art deep learning based audio codec

    Encodec is a neural audio codec developed by Meta for high-fidelity, low-bitrate audio compression using end-to-end deep learning. Unlike traditional codecs (like MP3 or Opus), Encodec uses a learned quantizer and decoder to reconstruct complex waveforms with remarkable accuracy at bitrates as low as 1.5 kbps. It employs a convolutional encoder–decoder architecture trained with perceptual loss functions that optimize for human auditory quality rather than raw waveform distance. The model can...
    Downloads: 1 This Week
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    rePhase

    rePhase

    A loudspeaker phase linearization, EQ and filtering tool

    rePhase project has moved to https://rephase.org, please go there to download rephase and to get info, support and updates. rePhase is a FIR generation tool for building fully linear-phase active crossovers with arbitrary slopes. It also let you manually compensate for the phase shifts of your loudspeakers and existing crossovers, be it active or passive. Once generated, the FIR can be applied using any hardware (openDRC, miniSHARC, Najda, ...) or software (foobar, convolver, JRiver,...
    Downloads: 0 This Week
    Last Update:
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