2 citations · 2 across the 3 of their papers we have counts for
3 papers
eess.AS2023★ 2 cited
Eeg2vec: Self-Supervised Electroencephalographic Representation Learning
Qiushi Zhu, Xiaoying Zhao, Jie Zhang +3
Recently, many efforts have been made to explore how the brain processes speech using electroencephalographic (EEG) signals, where deep learning-based approaches were shown to be a…
eess.AS2023
Speech Enhancement with Multi-granularity Vector Quantization
Xiao-Ying Zhao, Qiu-Shi Zhu, Jie Zhang
With advances in deep learning, neural network based speech enhancement (SE) has developed rapidly in the last decade. Meanwhile, the self-supervised pre-trained model and vector q…
eess.AS2022
Speech Enhancement Using Self-Supervised Pre-Trained Model and Vector Quantization
Xiao-Ying Zhao, Qiu-Shi Zhu, Jie Zhang
With the development of deep learning, neural network-based speech enhancement (SE) models have shown excellent performance. Meanwhile, it was shown that the development of self-su…