3 papers
eess.AS2026
Adaptive Depth and Expert Refinement for Efficient Speech Enhancement
Xikun Lu, Yujian Ma, Yunda Chen +2
Most neural speech enhancement systems use a fixed processing depth for all inputs, which can introduce unnecessary computation when fewer refinement steps are sufficient. We propo…
eess.AS2026
Consensus-Guided Shared-Specific Tri-View Learning for Speech Emotion Recognition
Bing Huang, Yujian Ma, Xikun Lu +2
Speech emotion recognition (SER) benefits from heterogeneous acoustic representations, but views derived from the same utterance contain both overlapping emotional evidence and rep…
eess.AS2025
A Lightweight Fourier-based Network for Binaural Speech Enhancement with Spatial Cue Preservation
Xikun Lu, Yujian Ma, Xianquan Jiang +2
Binaural speech enhancement faces a severe trade-off challenge, where state-of-the-art performance is achieved by computationally intensive architectures, while lightweight solutio…