Musical Genre Classification using Convolutional Neural Networks
R. Thiruvengatanadhan
R.Thiruvengatanadhan*, Department of Computer Science and Engineering, Faculty of Engineering and Technology, Annamalai University, Annamalainagar, (Tamil Nadu), India.
Manuscript received on September 20, 2020. | Revised Manuscript received on November 01, 2020. | Manuscript published on November 10, 2021. | PP: 228-230 | Volume-10 Issue-1, November 2020 | Retrieval Number: 100.1/ijitee.A81721110120| DOI: 10.35940/ijitee.A8172.1110120
Open Access | Ethics and Policies | Cite | Mendeley
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Music has likewise been separated into Genres and sub sorts on the premise on music. To show that, we contrast the outcomes acquired and a Convolutional Neural Network (CNN). Experiments were conducted on Marsyas databases with distinct characteristics for genre classification. The proposed CNN results in better accuracy in music genre classification.
Keywords: Music genre Classification, Convolutional Neural Network (CNN).
Scope of the Article: Classification