77 citations · 147 across the 7 of their papers we have counts for
7 papers
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…
Solving 3D Radar Imaging Inverse Problems with a Multi-cognition Task-oriented Framework
Xu Zhan, Xiaoling Zhang, Mou Wang +3
This work focuses on 3D Radar imaging inverse problems. Current methods obtain undifferentiated results that suffer task-depended information retrieval loss and thus don't meet the…
SSDPT: Self-Supervised Dual-Path Transformer for Anomalous Sound Detection in Machine Condition Monitoring
Jisheng Bai, Jianfeng Chen, Mou Wang +2
Anomalous sound detection for machine condition monitoring has great potential in the development of Industry 4.0. However, these anomalous sounds of machines are usually unavailab…
A Squeeze-and-Excitation and Transformer based Cross-task System for Environmental Sound Recognition
Jisheng Bai, Jianfeng Chen, Mou Wang +1
Environmental sound recognition (ESR) is an emerging research topic in audio pattern recognition. Many tasks are presented to resort to computational models for ESR in real-life ap…
A comparison of handcrafted, parameterized, and learnable features for speech separation
Wenbo Zhu, Mou Wang, Xiao-Lei Zhang +1
The design of acoustic features is important for speech separation. It can be roughly categorized into three classes: handcrafted, parameterized, and learnable features. Among them…
Multimodal Urban Sound Tagging with Spatiotemporal Context
Jisheng Bai, Jianfeng Chen, Mou Wang
Noise pollution significantly affects our daily life and urban development. Urban Sound Tagging (UST) has attracted much attention recently, which aims to analyze and monitor urban…
Hyperspectral Unmixing via Deep Autoencoder Networks for a Generalized Linear-Mixture/Nonlinear-Fluctuation Model
Min Zhao, Mou Wang, Jie Chen +1
Spectral unmixing is an important task in hyperspectral image processing for separating the mixed spectral data pertaining to various materials observed individual pixels. Recently…