Enhanced capsule neural network with advanced triangulation topology aggregation optimizer for music genre classification
Abstract Music genres classification poses a formidable challenge as it necessitates capturing the intricate and varied characteristics of musical signals. In this study, an innovative approach is presented to classify the music genres using the Capsule Neural Network (CapsNet). The CapsNet model op...
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| Format: | Article |
| Language: | English |
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Nature Portfolio
2025-01-01
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| Series: | Scientific Reports |
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| Online Access: | https://doi.org/10.1038/s41598-024-83577-z |
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| author | Linlin Jiang Lei Yang Shakiba azimi |
| author_facet | Linlin Jiang Lei Yang Shakiba azimi |
| author_sort | Linlin Jiang |
| collection | DOAJ |
| description | Abstract Music genres classification poses a formidable challenge as it necessitates capturing the intricate and varied characteristics of musical signals. In this study, an innovative approach is presented to classify the music genres using the Capsule Neural Network (CapsNet). The CapsNet model optimized by an advanced version of Triangulation Topology Aggregation Optimizer (ATTAO). CapsNet effectively preserves the spatial and hierarchical information of the input data, while ATTAO efficiently optimizes the parameters of CapsNet. The proposed method applied to two extensively utilized datasets, namely GTZAN and Ballroom, and compare its performance against several cutting-edge techniques. Here we show that based on the experimental findings, unequivocally demonstrate that our method outperforms others in different terms, thereby showing its efficacy and resilience in music genre recognition. |
| format | Article |
| id | doaj-art-e6cc27821a104c9898d0dd7a9d072de8 |
| institution | Kabale University |
| issn | 2045-2322 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Reports |
| spelling | doaj-art-e6cc27821a104c9898d0dd7a9d072de82025-01-05T12:15:05ZengNature PortfolioScientific Reports2045-23222025-01-0115111710.1038/s41598-024-83577-zEnhanced capsule neural network with advanced triangulation topology aggregation optimizer for music genre classificationLinlin Jiang0Lei Yang1Shakiba azimi2Music Academy, Baicheng Normal UniversitySchool of Library and Information Center, Anhui University of Finance and EconomicsMazandaran University of Science and TechnologyAbstract Music genres classification poses a formidable challenge as it necessitates capturing the intricate and varied characteristics of musical signals. In this study, an innovative approach is presented to classify the music genres using the Capsule Neural Network (CapsNet). The CapsNet model optimized by an advanced version of Triangulation Topology Aggregation Optimizer (ATTAO). CapsNet effectively preserves the spatial and hierarchical information of the input data, while ATTAO efficiently optimizes the parameters of CapsNet. The proposed method applied to two extensively utilized datasets, namely GTZAN and Ballroom, and compare its performance against several cutting-edge techniques. Here we show that based on the experimental findings, unequivocally demonstrate that our method outperforms others in different terms, thereby showing its efficacy and resilience in music genre recognition.https://doi.org/10.1038/s41598-024-83577-zMusic resiliencePsychological researchDesign neural networksComputerCapsule neural networkAdvanced triangulation topology aggregation optimizer |
| spellingShingle | Linlin Jiang Lei Yang Shakiba azimi Enhanced capsule neural network with advanced triangulation topology aggregation optimizer for music genre classification Scientific Reports Music resilience Psychological research Design neural networks Computer Capsule neural network Advanced triangulation topology aggregation optimizer |
| title | Enhanced capsule neural network with advanced triangulation topology aggregation optimizer for music genre classification |
| title_full | Enhanced capsule neural network with advanced triangulation topology aggregation optimizer for music genre classification |
| title_fullStr | Enhanced capsule neural network with advanced triangulation topology aggregation optimizer for music genre classification |
| title_full_unstemmed | Enhanced capsule neural network with advanced triangulation topology aggregation optimizer for music genre classification |
| title_short | Enhanced capsule neural network with advanced triangulation topology aggregation optimizer for music genre classification |
| title_sort | enhanced capsule neural network with advanced triangulation topology aggregation optimizer for music genre classification |
| topic | Music resilience Psychological research Design neural networks Computer Capsule neural network Advanced triangulation topology aggregation optimizer |
| url | https://doi.org/10.1038/s41598-024-83577-z |
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