Author

Han-Zhao Li

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#artificial intelligence Preprint Sep 2026

Modeling, Scaling, and Decoding: Optimizing Controllable Speech Generation with Nonverbal Vocalizations

Controllable synthesis of nonverbal vocalizations (NVVs) is es- sential for natural and expressive speech, but remains challeng- ing due to their acoustic diversity and imbalanced distribution in existing corpora. To address these challenges, we develop an NVV-aware DiTAR system that models continuous speech latents, e...

Zi-Yu Zhang, Yun Chen, Tai-Hui Wang et al. · 0 citations

#artificial intelligence Preprint Sep 2026

DiTAR+: Dual Optimization for Robust Autoregressive Diffusion Speech Synthesis

Continuous-latent Autoregressive Diffusion Transformer (AR-DiT) models have demonstrated immense potential in zero-shot speech generation. However, they still suffer from limited decoding stability when synthesizing long utterances or complex linguistic structures. This instability primarily stems from a restricted his...

Zi-Yu Zhang, Tian-Lun Zuo, Han-Zhao Li et al. · 0 citations