1 citations · 1 across the 3 of their papers we have counts for
4 papers
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…
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…
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…
Generating an Overview Report over Many Documents
Jingwen Wang, Hao Zhang, Cheng Zhang +3
How to efficiently generate an accurate, well-structured overview report (ORPT) over thousands of related documents is challenging. A well-structured ORPT consists of sections of m…