8 citations · 9 across the 16 of their papers we have counts for
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cs.SD2024★ 1 cited
SonicSim: A customizable simulation platform for speech processing in moving sound source scenarios
Kai Li, Wendi Sang, Chang Zeng +3
Systematic evaluation of speech separation and enhancement models under moving sound source conditions requires extensive and diverse data. However, real-world datasets often lack…
cs.SD2024
TIGER: Time-frequency Interleaved Gain Extraction and Reconstruction for Efficient Speech Separation
Mohan Xu, Kai Li, Guo Chen +1
In recent years, much speech separation research has focused primarily on improving model performance. However, for low-latency speech processing systems, high efficiency is equall…
cs.SD2024★ 8 cited
SPMamba: State-space model is all you need in speech separation
Kai Li, Guo Chen, Runxuan Yang +1
Existing CNN-based speech separation models face local receptive field limitations and cannot effectively capture long time dependencies. Although LSTM and Transformer-based speech…