Review of end-to-end speech synthesis technology based on deep learning. - Zhaoxi Mu; Xinyu Yang; Yizhuo Dong (CoRR, 2021)

A Multi-Stage Triple-Path Method For Speech Separation in Noisy and Reverberant Environments. - Zhaoxi Mu; Xinyu Yang; Xiangyuan Yang; Wenjing Zhu (ICASSP, 2023)

Multi-Dimensional and Multi-Scale Modeling for Speech Separation Optimized by Discriminative Learning. - Zhaoxi Mu; Xinyu Yang; Wenjing Zhu (ICASSP, 2023)

Self-Supervised Disentangled Representation Learning for Robust Target Speech Extraction. - Zhaoxi Mu; Xinyu Yang; Sining Sun; Qing Yang (AAAI, 2024)

Separate in the Speech Chain: Cross-Modal Conditional Audio-Visual Target Speech Extraction. - Zhaoxi Mu; Xinyu Yang (IJCAI, 2024)

SepALM: Audio Language Models Are Error Correctors for Robust Speech Separation. - Zhaoxi Mu; Xinyu Yang; Gang Wang (CoRR, 2025)

From Continuous to Discrete: Cross-Domain Collaborative General Speech Enhancement via Hierarchical Language Models. - Zhaoxi Mu; Rilin Chen; Andong Li; Meng Yu 003; Xinyu Yang; Dong Yu 001 (CoRR, 2025)