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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...

This is Roundware V1. For V2, please see GitHub repository: https://github.com/hburgund/roundware-server Roundware is a client/server pair for creating participatory location-sensitive audio experiences. It was initially developed for the sound art installation ROUND, by Halsey Burgund, exhibited at the Aldrich Contemporary Art Museum. Development for version 2 has been handled privately for a variety of reasons, but will be released soon! Please contact us if you need code sooner.