TiCodec

Dual-TIRE: Streaming neural speech codec with time-invariant factorized representations

A new arXiv preprint investigates TiCodec's Time-Invariant Representation Extraction (TIRE) module, which separates time-varying speech content from time-invariant speaker and environment information in neural speech codecs. The authors introduce Dual-TIRE, a multi-level architecture exploiting complementarity across encoder layers to improve reconstruction quality and speaker similarity. They also demonstrate that streaming inference using 660ms processing blocks achieves minimal degradation, suggesting practical viability for low-latency speech generation pipelines.