24 citations · 48 across the 5 of their papers we have counts for
5 papers
Bridging the Gap: Integrating Pre-trained Speech Enhancement and Recognition Models for Robust Speech Recognition
Kuan-Chen Wang, You-Jin Li, Wei-Lun Chen +5
Noise robustness is critical when applying automatic speech recognition (ASR) in real-world scenarios. One solution involves the used of speech enhancement (SE) models as the front…
Cepstral Analysis Based Artifact Detection, Recognition and Removal for Prefrontal EEG
Siqi Han, Chao Zhang, Jiaxin Lei +5
This paper proposes to use cepstrum for artifact detection, recognition and removal in prefrontal EEG. This work focuses on the artifact caused by eye movement. A database containi…
LightSleepNet: Design of a Personalized Portable Sleep Staging System Based on Single-Channel EEG
Yiqiao Liao, Chao Zhang, Milin Zhang +2
This paper proposed LightSleepNet - a light-weight, 1-d Convolutional Neural Network (CNN) based personalized architecture for real-time sleep staging, which can be implemented on…
Multi-Channel Multi-Domain based Knowledge Distillation Algorithm for Sleep Staging with Single-Channel EEG
Chao Zhang, Yiqiao Liao, Siqi Han +3
This paper proposed a Multi-Channel Multi-Domain (MCMD) based knowledge distillation algorithm for sleep staging using single-channel EEG. Both knowledge from different domains and…
SaleNet: A low-power end-to-end CNN accelerator for sustained attention level evaluation using EEG
Chao Zhang, Zijian Tang, Taoming Guo +5
This paper proposes SaleNet - an end-to-end convolutional neural network (CNN) for sustained attention level evaluation using prefrontal electroencephalogram (EEG). A bias-driven p…