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eess.AS2026
Separate First, Then Associate: A Two-Stage Approach for Real-World Audio-Visual Speech Enhancement
Tongtao Ling, Zhong-Qiu Wang
Audio-visual speech enhancement (AVSE) aims at extracting target speech from multi-speaker mixtures by exploiting visual cues. Although recent studies have reported strong performa…
eess.AS2025
MC-LExt: Multi-Channel Target Speaker Extraction with Onset-Prompted Speaker Conditioning Mechanism
Tongtao Ling, Shulin He, Pengjie Shen +1
Multi-channel target speaker extraction (MC-TSE) aims to extract a target speaker's voice from multi-speaker signals captured by multiple microphones. Existing methods often rely o…
eess.AS2025
Neural Forward Filtering for Speaker-Image Separation
Jingqi Sun, Shulin He, Ruizhe Pang +1
We address monaural multi-speaker-image separation in reverberant conditions, aiming at separating mixed speakers but preserving the reverberation of each speaker. A straightforwar…