Electronic Dance Music Sub-genre Classification Using Machine Learning-Reference-Cited by-同舟云学术

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Electronic Dance Music Sub-genre Classification Using Machine Learning

Published:2022 Issue: Volume: Page:321-331
ISSN:2524-7565
Container-title:Artificial Intelligence and Sustainable Computing
language:
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Author:

Popli Chetan,Pai Advait,Thoday Vijayetha,Tiwari Manisha

Publisher

Springer Nature Singapore

Link

https://link.springer.com/content/pdf/10.1007/978-981-19-1653-3_25

Reference21 articles.

1. Ishkur’s Guide to Electronic Music http://music.ishkur.com (2019)

2. Tzanetakis G, Cook P (2002) Musical genre classification of audio signals. IEEE Trans Speech Audio Proc 10(5):293–302

3. Karatana A, Yildiz O (2017) Music genre classification with machine learning techniques. In: 2017 25th Signal processing and communications applications conference (SIU)

4. Elbir A, Çam HB, Iyican ME, Öztürk B, Aydin N (2018) Music genre classification and recommendation by using machine learning techniques. In: 2018 Innovations in intelligent systems and applications conference (ASYU)

5. Bergstra J, Casagrande N, Erhan D, Eck D, Kégl B (2006) Aggregate features and AdaBoost for music classification

Cited by 1 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. SINATRA: A Music Genre Classifier Based on Clustering and Graph Analysis;Cutting Edge Applications of Computational Intelligence Tools and Techniques;2023

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