Research on Acoustic Events Recognition Method With Dimensionality Reduction Combining Attention and Mutual Information
Author:
Affiliation:
1. School of Mechanotronics and Vehicle Engineering, East China Jiaotong University, Nanchang, China
2. Suzhou Automotive Research Institute, Tsinghua University, Suzhou, China
3. Suzhou Acoustic Technology Institute Company Ltd., Suzhou, China
Funder
National Natural Science Foundation of China
China Postdoctoral Science Foundation
Natural Science Foundation of Jiangxi Province, China
Training Plan for Academic and Technical Leaders of Major Disciplines in Jiangxi Province, China
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Instrumentation
Link
http://xplorestaging.ieee.org/ielx7/7361/9766065/09727117.pdf?arnumber=9727117
Reference35 articles.
1. Environmental sound classification with dilated convolutions
2. Pruning convolutional neural networks for resource efficient inference;molchanov;Proc 5th Int Conf Learn Represent (ICLR),2017
3. Rethinking CNN models for audio classification;palanisamy;arXiv 2007 11154,2020
4. ESResNet: Environmental sound classification based on visual domain models;guzhov;arXiv 2004 07301,2020
5. Deep convolutional neural networks and data augmentation for acoustic event detection;takahashi;arXiv 1604 07160,2016
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