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eess.AS2026

StreamTN: A Low-Latency Streaming Chinese Text Normalization Model for Streaming TTS in Dialogue Systems

Wenhao Li, Jinrui Liang, Haoyu Zhang +11

Text-to-Speech (TTS) is an essential module that provides spoken responses in a spoken dialogue system (SDS) centered on a large language model (LLM). To ensure accurate TTS synthe…

eess.AS2026

Rethinking Music Tokenization: A Semantic Codec toward High-Fidelity LLM Music Generation

Huakang Chen, Guobin Ma, Yuepeng Jiang +10

Discrete audio tokenization has become the critical interface between raw waveforms and autoregressive modeling in recent music generation. As a result, music tokenizers must simul…

eess.AS2026

SphereVAE: Hyperspherical Latent Autoencoders for Robust Autoregressive Speech Representation Modeling

Haoyu Zhang, Jingbin Hu, Hanke Xie +8

With the rapid development of speech generation technology, discrete codec representations have been widely used because they provide a stable prediction paradigm. In expressive sp…

eess.AS2026

SemBridge: Semantic Token Anchoring for Continuous-Latent Autoregressive Speech Generation

Hanke Xie, Haopeng Lin, Jiale Qian +13

Continuous-latent autoregressive speech generation has emerged as a promising alternative to discrete-token modeling by avoiding quantization loss and preserving richer acoustic in…

eess.AS2026

MeanVC 2: Robust Low-Latency Streaming Zero-Shot Voice Conversion

Guobin Ma, Yuxuan Xia, Yuepeng Jiang +6

Streaming zero-shot voice conversion (VC) has become increasingly popular due to its potential for real-time applications. The recently proposed MeanVC achieves lightweight streami…

eess.AS2026

G-MaP-SE: Guided Speech Enhancement via GMM-Based Prior Matching

Yike Zhu, Ziqian Wang, Zikai Liu +5

Using speaker embeddings as conditioning can strengthen speech enhancement, but most methods either require clean enrollment audio or rely on embeddings extracted from noisy speech…