4 citations · 4 across the 19 of their papers we have counts for
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Clinically Informed Acoustic-Aware Attribute Modeling for Respiratory Sound Classification
Xinhong Li, Li Xiao, Ziyang Chen +2
Automated respiratory sound classification (RSC) aims to identify normal and adventitious respiratory sounds, such as crackles and wheezes. Most existing methods formulate RSC as a…
PAC-KD: Pathology-Aware Compositional Knowledge Distillation for Respiratory Sound Classification
Li Xiao, Weiping Tu, Youqiang Zheng +1
Respiratory sound classification distinguishes four categories: Normal, Crackle, Wheeze, and Both (crackle and wheeze). Existing knowledge distillation transfers four-class predict…
ProLombard: Structured Multi-Scale Modeling for Normal-to-Lombard Speech Conversion
Hongyang Chen, Xinmeng Xu, Youqiang Zheng +5
Normal-to-Lombard (N2L) speech conversion aims to improve speech intelligibility in noisy environments by transforming normal speech into Lombard-style speech while preserving ling…
Noisy Environment Adaptation of Neural Speech Codec via Focal Mask and Noise Feature Separation
Shaokai Li, Weiping Tu, Yuhong Yang
Neural speech codec has attracted extensive attention for high-quality reconstruction at low-bitrate. However, real-world noise severely degrades its performance and hinders high-q…
GEM-TFL: Bridging Weak and Full Supervision for Forgery Localization through EM-Guided Decomposition and Temporal Refinement
Xiaodong Zhu, Yuanming Zheng, Suting Wang +4
Temporal Forgery Localization (TFL) aims to precisely identify manipulated segments within videos or audio streams, providing interpretable evidence for multimedia forensics and se…
DeformTrace: A Deformable State Space Model with Relay Tokens for Temporal Forgery Localization
Xiaodong Zhu, Suting Wang, Yuanming Zheng +5
Temporal Forgery Localization (TFL) aims to precisely identify manipulated segments in video and audio, offering strong interpretability for security and forensics. While recent St…