Exploiting hierarchy in environmental sound classification
Author:
Affiliation:
1. University of Zilina,Dept. of Mechatronics and Electronics,Zilina,Slovakia,010 26
2. University of Zilina,Dept. of Multimedia and Information and Communication Technology,Zilina,Slovakia,010 26
Funder
Slovak Grant Agency KEGA
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9764897/9764898/09764900.pdf?arnumber=9764900
Reference25 articles.
1. Environmental sound classification with convolutional neural networks;piczak;Machine Learning for Signal Processing (MLSP) 2015 IEEE 25th International Workshop on,2015
2. Deep Convolutional Neural Network with Mixup for Environmental Sound Classification
3. Sound Event Detection and Time–Frequency Segmentation from Weakly Labelled Data
4. ESResNet: Environmental Sound Classification Based on Visual Domain Models;guzhov;arXiv 2004 07301 [cs eess],2020
5. A survey of hierarchical classification across different application domains
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1. Hierarchical classification for acoustic scenes using deep learning;Applied Acoustics;2023-09
2. Comparative Study of Classifiers for Environmental Sound Classification;Studies in Autonomic, Data-driven and Industrial Computing;2023
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