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Past: Phonetic-acoustic speech tok- enizer,

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Benchmarking Neural Speech Compression from a Rate-Distortion Perspective

eess.AS · 2026-06-10 · unverdicted · novelty 6.0

ECC integrates hyperprior side information, channel-wise context, latent residual prediction, temporal modeling, and entropy skip into a learned entropy model, yielding 39.9% and 76.3% average BD-rate reductions on ViSQOL and PESQ over baselines.

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  • Benchmarking Neural Speech Compression from a Rate-Distortion Perspective eess.AS · 2026-06-10 · unverdicted · none · ref 77

    ECC integrates hyperprior side information, channel-wise context, latent residual prediction, temporal modeling, and entropy skip into a learned entropy model, yielding 39.9% and 76.3% average BD-rate reductions on ViSQOL and PESQ over baselines.