Zhaoxi Mu

According to our database, Zhaoxi Mu authored at least 10 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Disentangle to edit: instruction-guided latent manipulation for 3D facial video consistency.

Peixu Zhang, Zhaoxi Mu, Shulei Ji, Wang Xi, Xinyu Yang

Multim. Syst., June, 2026

VocalParse: Towards Unified and Scalable Singing Voice Transcription with Large Audio Language Models.

Yukun Chen, Tianrui Wang, Zhaoxi Mu, Xinyu Yang, Eng Siong Chng

CoRR, May, 2026

2025

Spiking Vocos: An Energy-Efficient Neural Vocoder.

Yukun Chen, Zhaoxi Mu, Andong Li, Peilin Li, Xinyu Yang

CoRR, September, 2025

From Continuous to Discrete: Cross-Domain Collaborative General Speech Enhancement via Hierarchical Language Models.

Zhaoxi Mu, Rilin Chen, Andong Li, Meng Yu, Xinyu Yang, Dong Yu

Proceedings of the 33rd ACM International Conference on Multimedia, 2025

SepALM: Audio Language Models Are Error Correctors for Robust Speech Separation.

Zhaoxi Mu, Xinyu Yang, Gang Wang

Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

2024

Separate in the Speech Chain: Cross-Modal Conditional Audio-Visual Target Speech Extraction.

Zhaoxi Mu, Xinyu Yang

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Self-Supervised Disentangled Representation Learning for Robust Target Speech Extraction.

Zhaoxi Mu, Xinyu Yang, Sining Sun, Qing Yang

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Multi-Dimensional and Multi-Scale Modeling for Speech Separation Optimized by Discriminative Learning.

Zhaoxi Mu, Xinyu Yang, Wenjing Zhu

Proceedings of the IEEE International Conference on Acoustics, 2023

A Multi-Stage Triple-Path Method For Speech Separation in Noisy and Reverberant Environments.

Zhaoxi Mu, Xinyu Yang, Xiangyuan Yang, Wenjing Zhu

Proceedings of the IEEE International Conference on Acoustics, 2023

2021

Review of end-to-end speech synthesis technology based on deep learning.

Zhaoxi Mu, Xinyu Yang, Yizhuo Dong

CoRR, 2021