Multimodal Signal Processing for Speech Enhancement and Intelligent Sensing

Dear Colleagues,

This Special Issue aims to explore the latest advancements and interdisciplinary synergies at the intersection of speech enhancement and multimodal signal processing. While robust speech enhancement remains a core focus, we specifically seek to broaden the scope to include the fusion, analysis, and intelligent processing of heterogeneous signals. Topics of interest include, but are not limited to, novel deep learning architectures for speech enhancement, multimodal fusion techniques for improved perception and analysis, and signal processing algorithms for other modalities such as visual signals, ultrasonic signals, and biomedical sensor signals. We encourage submissions showcasing applications across diverse fields such as industrial condition monitoring and predictive maintenance, biomedical engineering and assistive diagnostics, human–computer interaction, and intelligent sensing systems. This Special Issue will serve as a platform for researchers to disseminate innovative work on unified frameworks that handle complex, real-world multimodal data, pushing the boundaries of traditional audio-centric processing

Dr. Tao Zhang
Dr. Xin Zhao
Guest Editors

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