Music Genre Classification Using Long Short-Term Memory with Gated Recurrent Unit-Reference-Cited by-同舟云学术

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Music Genre Classification Using Long Short-Term Memory with Gated Recurrent Unit

Published:2024-03-15 Issue: Volume: Page:1-4
ISSN:
Container-title:2024 International Conference on Distributed Computing and Optimization Techniques (ICDCOT)
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Author:

Sumalatha K¹,Nagendar Y²,Sharma Jaya³,C R Padma⁴,Alsalami Zaid⁵

Affiliation:

1. Malla reddy Engineering College for Women (Autonomous),Department of ECE,Hyderabad,Telangana,India

2. School of Computer Science and Engineering, SR University,Warangal,Telangana,India

3. GITAM University,Department of CSE,Hyderabad,India

4. Dayananda College of Engineering,Department of Medical Electronics Engineering,Karnataka,India

5. The Islamic university,Najaf,Iraq

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10515307/10515308/10515501.pdf?arnumber=10515501

Reference12 articles.

1. Towards building a Deep Learning based Automated Indian Classical Music Tutor for the Masses

2. Large-Scale Music Genre Analysis and Classification Using Machine Learning with Apache Spark

3. A Music Genre Classification Method Based on Deep Learning

4. Dissecting the genre of Nigerian music with machine learning models

5. Multiplicative long short-term memory-based software-defined networking for handover management in 5G network

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