3 papers
cs.HC2022
Classification of Distraction Levels Using Hybrid Deep Neural Networks From EEG Signals
Dae-Hyeok Lee, Sung-Jin Kim, Yeon-Woo Choi
Non-invasive brain-computer interface technology has been developed for detecting human mental states with high performances. Detection of the pilots' mental states is particularly…
cs.LG2022
CropCat: Data Augmentation for Smoothing the Feature Distribution of EEG Signals
Sung-Jin Kim, Dae-Hyeok Lee, Yeon-Woo Choi
Brain-computer interface (BCI) is a communication system between humans and computers reflecting human intention without using a physical control device. Since deep learning is rob…
cs.SD2022
An Evaluation of Three-Stage Voice Conversion Framework for Noisy and Reverberant Conditions
Yeonjong Choi, Chao Xie, Tomoki Toda
This paper presents a new voice conversion (VC) framework capable of dealing with both additive noise and reverberation, and its performance evaluation. There have been studied som…