5 citations · 6 across the 3 of their papers we have counts for
3 papers
eess.AS2024★ 5 cited
Description on IEEE ICME 2024 Grand Challenge: Semi-supervised Acoustic Scene Classification under Domain Shift
Jisheng Bai, Mou Wang, Haohe Liu +11
Acoustic scene classification (ASC) is a crucial research problem in computational auditory scene analysis, and it aims to recognize the unique acoustic characteristics of an envir…
eess.AS2023★ 1 cited
Dynamic Kernel Convolution Network with Scene-dedicate Training for Sound Event Localization and Detection
Siwei Huang, Jianfeng Chen, Jisheng Bai +2
DNN-based methods have shown high performance in sound event localization and detection(SELD). While in real spatial sound scenes, reverberation and the imbalanced presence of vari…
eess.AS2023
Convolutional Recurrent Neural Network with Attention for 3D Speech Enhancement
Han Yin, Jisheng Bai, Mou Wang +3
3D speech enhancement can effectively improve the auditory experience and plays a crucial role in augmented reality technology. However, traditional convolutional-based speech enha…