Paris Smaragdis

Elastic Time: Dynamic Frame Rate Bottlenecks for Neural Audio Coding

Dimitrios Bralios, Paris Smaragdis, Minje Kim

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…Read more