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eess.AS2026
DBMIF: a deep balanced multimodal iterative fusion framework for air- and bone-conduction speech enhancement
Yilei Wu, Changyan Zheng, Xingyu Zhang +5
The performance of conventional speech enhancement systems degrades sharply in extremely low signal-to-noise ratio (SNR) environments where air-conduction (AC) microphones are over…
eess.AS2026
Purification Before Fusion: Toward Mask-Free Speech Enhancement for Robust Audio-Visual Speech Recognition
Linzhi Wu, Xingyu Zhang, Hao Yuan +5
Audio-visual speech recognition (AVSR) typically improves recognition accuracy in noisy environments by integrating noise-immune visual cues with audio signals. Nevertheless, high-…