Effective Music Genre Classification using Late Fusion Convolutional Neural Network with Multiple Spectral Features
Author:
Affiliation:
1. Chung-Ang University,Department of Artificial Intelligence,Seoul,Republic of Korea
2. Chung-Ang University,Department of Public Service,Seoul,Republic of Korea
Funder
MSIT
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9954607/9954630/09954732.pdf?arnumber=9954732
Reference41 articles.
1. Neural Network Music Genre Classification
2. An evaluation of deep neural network models for music classification using spectrograms
3. A benchmark dataset for audio classification and clustering;homburg;ISMTR,0
4. Musical genre classification of audio signals
5. Learning to groove with inverse sequence transformations;gillick;International Conference on Machine Learning,2019
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1. A Short Survey and Comparison of CNN-Based Music Genre Classification Using Multiple Spectral Features;IEEE Access;2024
2. Classification of Musical Genres Using Audio Spectrograms;2023 5th International Conference on Advances in Computing, Communication Control and Networking (ICAC3N);2023-12-15
3. Music Intervention in Human Life, Work, and Disease: A Survey;International Journal of Crowd Science;2023-09
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