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cs.SD2026
CF-AVSS: A Coarse-to-Fine Audio-Visual Speech Separation Framework with Target-Speaker Refinement and Post-Fusion for Real-World AVSE Challenge
Longjie Luo, Zhongshu Hou, Yuepeng Li +3
Audio-visual speech enhancement (AVSE) leverages visual cues to recover target speech from mixtures corrupted by reverberation, noise, and overlapping speakers. We propose a coarse…
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…