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cs.SD2021★ 1 cited
A Separable Temporal Convolution Neural Network with Attention for Small-Footprint Keyword Spotting
Shenghua Hu, Jing Wang, Yujun Wang +2
Keyword spotting (KWS) on mobile devices generally requires a small memory footprint. However, most current models still maintain a large number of parameters in order to ensure go…
cs.SD2021
Separable Temporal Convolution plus Temporally Pooled Attention for Lightweight High-performance Keyword Spotting
Shenghua Hu, Jing Wang, Yujun Wang +1
Keyword spotting (KWS) on mobile devices generally requires a small memory footprint. However, most current models still maintain a large number of parameters in order to ensure go…
cs.SD2021
Lightweight Dual-channel Target Speaker Separation for Mobile Voice Communication
Yuanyuan Bao, Yanze Xu, Na Xu +7
Nowadays, there is a strong need to deploy the target speaker separation (TSS) model on mobile devices with a limitation of the model size and computational complexity. To better p…