Jiachen Zheng — accepted AI-conference papers

2025

MaskGCT: Zero-Shot Text-to-Speech with Masked Generative Codec Transformer

Yuancheng Wang, Haoyue Zhan, Liwei Liu, Ruihong Zeng, Haotian Guo, Jiachen Zheng +4

ICLR 2025poster

The recent large-scale text-to-speech (TTS) systems are usually grouped as autoregressive and non-autoregressive systems. The autoregressive systems implicitly model duration but exhibit certain deficiencies in robustness and lack of duration controllability. Non-autoregressive systems require expli…

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2025

Metis: A Foundation Speech Generation Model with Masked Generative Pre-training

Yuancheng Wang, Jiachen Zheng, Junan Zhang, Xueyao Zhang, Huan Liao, Zhizheng Wu

NeurIPS 2025poster

We introduce ***Metis***, a foundation model for unified speech generation. Unlike previous task-specific or multi-task models, Metis follows a pre-training and fine-tuning paradigm. It is pre-trained on large-scale unlabeled speech data using masked generative modeling and then fine-tuned to adapt…

Cited by 0 Source ↗code ↗Scholar ↗