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.AS2024
Sub-band and Full-band Interactive U-Net with DPRNN for Demixing Cross-talk Stereo Music
Han Yin, Mou Wang, Jisheng Bai +3
This paper presents a detailed description of our proposed methods for the ICASSP 2024 Cadenza Challenge. Experimental results show that the proposed system can achieve better perf…
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…