Author

Hua-Kang Chen

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Preprint Oct 2026

DRAMA-Eval: A Benchmark for Context-Aware, Multi-Turn, Multi-Speaker Speech Generation

Recent advances in speech generation are shifting toward context-aware, multi-turn, and multi-speaker synthesis. While these capabilities are in high demand for applications such as audiobook and audio drama production, evaluation has not kept pace with these advances. Beyond traditional zero-shot Text-to-Speech (TTS),...

Jing-Bin Hu, Zi-Tao Yang, Xiao-Ge Peng et al. · 0 citations

Review Oct 2026

The NVVSpeech Challenge 2026: Overview and Lessons for Speech Understanding and Generation with Nonverbal Vocalizations

Nonverbal vocalizations (NVVs), such as laughter and sighs, convey meaning alongside words. NVV-aware speech systems must recognize and generate these events while preserving lexical accuracy and perceptual quality. Yet differences in annotation, resources, and evaluation complicate comparisons, and aggregate scores ca...

Liu-Meng Xue, Yuang Cao, Jing-Bin Hu et al. · 0 citations

Preprint Oct 2026

MSVAE: Rethinking Musical Semantics in Continuous Latent Spaces

Continuous latent representations underlie recent diffusion-based lyrics-to-song and text-to-music systems, yet aligning lyric conditions with these latents remains difficult: existing systems resort to generator-side machinery such as sentence-level timestamps, auxiliary alignment objectives, or semi-autoregressive de...

Guo-Bin Ma, Yue-Peng Jiang, Da-Ke Guo et al. · 0 citations

Preprint Sep 2026

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

StreamTN is proposed, a lightweight LLM-based Chinese streaming TN model that employs a dual-track streaming framework in which input tokens and output tokens are processed on two parallel tracks, enabling low-latency real-time inference without complex prompting.

Wen-Hao Li, Jin-Rui Liang, Hao-Yu Zhang et al. · 0 citations

Preprint Sep 2026

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

Discrete audio tokenization has become the critical interface between raw waveforms and autoregressive modeling in recent music generation. As a result, music tokenizers must simultaneously support high-fidelity reconstruction and produce discrete sequences that remain amenable to language modeling. Existing reconstruc...

Hua-Kang Chen, Guo-Bin Ma, Yue-Peng Jiang et al. · 0 citations

Preprint Aug 2026

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

SemBridge is proposed, a training-only semantic-token anchoring framework for continuous-latent autoregressive speech generation and demonstrates that explicit semantic-token supervision for autoregressive state learning is an effective and general direction for continuous speech generation.

Han-Ke Xie, Haopeng Lin, J. Qian et al. · 0 citations