Music Genre Classification: A Review of Deep-Learning and Traditional Machine-Learning Approaches-Reference-Cited by-同舟云学术

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Music Genre Classification: A Review of Deep-Learning and Traditional Machine-Learning Approaches

Published:2021-04-21 Issue: Volume: Page:
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Container-title:2021 IEEE International IOT, Electronics and Mechatronics Conference (IEMTRONICS)
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Author:

Ndou Ndiatenda,Ajoodha Ritesh,Jadhav Ashwini

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9422411/9422480/09422487.pdf?arnumber=9422487

Cited by 29 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A music recommender system based on compact convolutional transformers;Expert Systems with Applications;2024-12

2. Direct Labelling of Form of Classical-Period Piano Sonata Movements From Audio Recordings;Proceedings of the 11th International Conference on Digital Libraries for Musicology;2024-06-27

3. Performance Analysis of Deep Learning and Machine Learning Methods for Music Genre Classification System;Journal of Soft Computing Paradigm;2024-06

4. Music Genre Classification;International Journal of Innovative Science and Research Technology (IJISRT);2024-05-01

5. Makine Öğrenmesi Yöntemleri ile GTZAN Veri Kümesine Ait Müzik Türlerinin Sınıflandırılması;Mühendislik Bilimleri ve Araştırmaları Dergisi;2024-04-30

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