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cs.SD2025
Compose Yourself: Average-Velocity Flow Matching for One-Step Speech Enhancement
Gang Yang, Yue Lei, Wenxin Tai +4
Diffusion and flow matching (FM) models have achieved remarkable progress in speech enhancement (SE), yet their dependence on multi-step generation is computationally expensive and…
cs.SD2021★ 2 cited
Foster Strengths and Circumvent Weaknesses: a Speech Enhancement Framework with Two-branch Collaborative Learning
Wenxin Tai, Jiajia Li, Yixiang Wang +2
Recent single-channel speech enhancement methods usually convert waveform to the time-frequency domain and use magnitude/complex spectrum as the optimizing target. However, both ma…