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eess.AS2026
ReLMCodec: Designing Predictable Speech Tokens from Pre-Quantization Phoneme Structure
Zixiang Wan, Xusheng Yang, Zheng Wang +1
Neural speech codecs face a fundamental tension in the language-model era: tokens that support high-fidelity reconstruction are not necessarily easy for autoregressive models to pr…
eess.AS2025
AUV: Teaching Audio Universal Vector Quantization with Single Nested Codebook
Yushen Chen, Kai Hu, Long Zhou +4
We propose AUV, a unified neural audio codec with a single codebook, which enables a favourable reconstruction of speech and further extends to general audio, including vocal, musi…