2 citations · 2 across the 3 of their papers we have counts for
3 papers
cs.SD2023★ 2 cited
Exploring Representation Learning for Small-Footprint Keyword Spotting
Fan Cui, Liyong Guo, Quandong Wang +2
In this paper, we investigate representation learning for low-resource keyword spotting (KWS). The main challenges of KWS are limited labeled data and limited available device reso…
cs.SD2023
Relate auditory speech to EEG by shallow-deep attention-based network
Fan Cui, Liyong Guo, Lang He +4
Electroencephalography (EEG) plays a vital role in detecting how brain responses to different stimulus. In this paper, we propose a novel Shallow-Deep Attention-based Network (SDAN…
cs.SD2023
Unified Keyword Spotting and Audio Tagging on Mobile Devices with Transformers
Heinrich Dinkel, Yongqing Wang, Zhiyong Yan +2
Keyword spotting (KWS) is a core human-machine-interaction front-end task for most modern intelligent assistants. Recently, a unified (UniKW-AT) framework has been proposed that ad…