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Elastic Time: Dynamic Frame Rate Bottlenecks for Neural Audio Coding

Bralios, Dimitrios et al.
arXiv (All) · Papers
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audio-and-speech-processingmachine-learningsound
Neural audio autoencoders have become a core component of compression, feature extraction, and generation. However, while existing systems support variable bitrate, the vast majority of models still operate at a fixed latent frame-rate, allocating equal temporal budget to regions with very different
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