State-of-the-art analysis of deep learning-based monaural speech source separation techniques
S Soni, RN Yadav, L Gupta - IEEE Access, 2023 - ieeexplore.ieee.org
The monaural speech source separation problem is an important application in the signal
processing field. But recent interaction of deep learning algorithms with signal processing …
processing field. But recent interaction of deep learning algorithms with signal processing …
Anomaly sound detection of industrial devices by using teacher-student incremental continual learning
H Zhou, K Wang, H Li, W Yang, J Yao… - Measurement Science …, 2024 - iopscience.iop.org
Normal production processes will be substantially impacted by industrial devices in
abnormal working conditions. Anomaly sound detection (ASD) model can monitor the …
abnormal working conditions. Anomaly sound detection (ASD) model can monitor the …
Multi-Kernel Attention Encoder For Time-Domain Speech Separation
Z Liu, D Shi, Y Wei - 2024 IEEE International Symposium on …, 2024 - ieeexplore.ieee.org
Recent years, great progress has been made in time-domain single-channel speech
separation. In this paper, we propose an innovative method of using multiple convolutional …
separation. In this paper, we propose an innovative method of using multiple convolutional …