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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          | Main Authors: | , , , , | 
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| Format: | Article | 
| Language: | English | 
| Published: | MDPI AG
    
        2024-10-01 | 
| Series: | Sensors | 
| Subjects: | |
| Online Access: | https://www.mdpi.com/1424-8220/24/21/7021 | 
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