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cs.LG2025
Spiking Vocos: An Energy-Efficient Neural Vocoder
Yukun Chen, Zhaoxi Mu, Andong Li +2
Despite the remarkable progress in the synthesis speed and fidelity of neural vocoders, their high energy consumption remains a critical barrier to practical deployment on computat…
cs.SD2025
From Continuous to Discrete: Cross-Domain Collaborative General Speech Enhancement via Hierarchical Language Models
Zhaoxi Mu, Rilin Chen, Andong Li +3
This paper introduces OmniGSE, a novel general speech enhancement (GSE) framework designed to mitigate the diverse distortions that speech signals encounter in real-world scenarios…
cs.SD2025
SepALM: Audio Language Models Are Error Correctors for Robust Speech Separation
Zhaoxi Mu, Xinyu Yang, Gang Wang
While contemporary speech separation technologies adeptly process lengthy mixed audio waveforms, they are frequently challenged by the intricacies of real-world environments, inclu…