Elastic Time adds a learned latent predictor to enable dynamic frame rates in fixed-rate neural audio autoencoders, allowing skipped frames to be reconstructed and improving efficiency-quality tradeoffs at deployment time.
Back to ear: Perceptually driven high fidelity music reconstruction
3 Pith papers cite this work. Polarity classification is still indexing.
3
Pith papers citing it
years
2026 3verdicts
UNVERDICTED 3representative citing papers
SAME is a semantically regularized transformer autoencoder for music that delivers 4096x compression with open-weights release of large and small variants.
STAR-VAE introduces topology-aware regularization to reshape VAE latent geometry for audio, claiming to resolve the Rate-Distortion-Regularity Trilemma and achieve SOTA reconstruction.
citing papers explorer
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Elastic Time: Dynamic Frame Rate Bottlenecks for Neural Audio Coding
Elastic Time adds a learned latent predictor to enable dynamic frame rates in fixed-rate neural audio autoencoders, allowing skipped frames to be reconstructed and improving efficiency-quality tradeoffs at deployment time.
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SAME: A Semantically-Aligned Music Autoencoder
SAME is a semantically regularized transformer autoencoder for music that delivers 4096x compression with open-weights release of large and small variants.
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STAR-VAE: Structured Topology-Aware Regularization for Audio Reconstruction and Generation
STAR-VAE introduces topology-aware regularization to reshape VAE latent geometry for audio, claiming to resolve the Rate-Distortion-Regularity Trilemma and achieve SOTA reconstruction.