Efficient Music Genre Recognition Using ECAS-CNN: A Novel Channel-Aware Neural Network Architecture

Efficient Music Genre Recognition Using ECAS-CNN: A Novel Channel-Aware Neural Network Architecture

In the era of digital music proliferation, music genre classification has become a crucial task in music information retrieval. This paper proposes a novel channel-aware convolutional neural network (ECAS-CNN) designed to enhance the efficiency and accuracy of music genre recognition. By integrating...

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Bibliographic Details
Main Authors: Yang Ding, Hongzheng Zhang, Wanmacairang Huang, Xiaoxiong Zhou, Zhihan Shi
Format: Article
Language:English
Published: MDPI AG 2024-10-01
Series:Sensors
Subjects:
music genre classification
channel-aware convolutional neural network
ECA module
deep learning
GTZAN dataset
music information retrieval
Online Access:https://www.mdpi.com/1424-8220/24/21/7021
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