A New Methodical Perspective for Classification and Recognition of Music Genre Using Machine Learning Classifiers-Reference-Cited by-同舟云学术

A New Methodical Perspective for Classification and Recognition of Music Genre Using Machine Learning Classifiers

Published:2023-08-16 Issue: Volume: Page:
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Container-title:2023 International Conference on Emerging Trends in Networks and Computer Communications (ETNCC)
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Author:

Narkhede Nandkishor¹,Mathur Sumit²,Bhaskar Anandkumar Atalbihari³,Hiran Kamal Kant⁴,Dadhich Manish⁵,Kalla Mukesh⁶

Affiliation:

1. Shah and Anchor Kutchhi Engineering College,Electronics and Computer Science Department,Mumbai,India

2. Madhav University,Facuilty of Engineering and Technology,Sirohi,India

3. Sir Padampat Singhania University,Electronics and Communication Department,Udaipur,India

4. School of Computer Science & IT Symbiosis University of Applied Sciences,Indore,India

5. School of Management Sir Padampat Singhania University,Udaipur,India

6. Sir Padampat Singhania University,Computer Science and Engineering Department,Udaipur,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10284782/10284783/10284969.pdf?arnumber=10284969

Reference19 articles.

1. Convolutional recurrent neural networks for music classification;choi;ArXiv Preprint,2016

2. Deep Residual Learning for Image Recognition

3. A Resampling Approach for Imbalanceness on Music Genre Classification Using Spectrograms;vinicius;Association for the Advancement of Artificial Intelligence,2018

4. Automatic Music Genre Classification using Convolution Neural Network

5. Content-Based Audio Classification and Retrieval Using Segmentation, Feature Extraction and Neural Network Approach;nilesh;Advances in Computer Communication and Computational Sciences Advances in Intelligent Systems and Computing,2019