A Short Survey and Comparison of CNN-Based Music Genre Classification Using Multiple Spectral Features-Reference-Cited by-同舟云学术

A Short Survey and Comparison of CNN-Based Music Genre Classification Using Multiple Spectral Features

Author:

Seo Wangduk¹^ORCID,Cho Sung-Hyun²^ORCID,Teisseyre Paweł³,Lee Jaesung²^ORCID

Affiliation:

1. School of Computer Science and Engineering, Chung-Ang University, Seoul, South Korea

2. Department of Artificial Intelligence, Chung-Ang University, Seoul, South Korea

3. Institute of Computer Science, Polish Academy of Sciences, Warsaw, Poland

Funder

Institute of Information & Communications Technology Planning & Evaluation

Korean Government (Ministry of the Science and ICT, MSIT) through the Artificial Intelligence Graduate School Program, Chung-Ang University

Chung-Ang University Research Grants, in 2023

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

Reference91 articles.

3. Personality traits and music genre preferences: How music taste varies over age groups;Ferwerda

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