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Research on Music Style Classification Based on Deep Learning

Music style is one of the important labels for music classification, and the current music style classification methods extract features such as rhythm and timbre of music and use classifiers to achieve classification. The classification accuracy is not only affected by the classifier but also limit...

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Detalles Bibliográficos
Autores principales: Wang, Wei, Sohail, Mishal
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8789415/
https://www.ncbi.nlm.nih.gov/pubmed/35087600
http://dx.doi.org/10.1155/2022/3699885
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author Wang, Wei
Sohail, Mishal
author_facet Wang, Wei
Sohail, Mishal
author_sort Wang, Wei
collection PubMed
description Music style is one of the important labels for music classification, and the current music style classification methods extract features such as rhythm and timbre of music and use classifiers to achieve classification. The classification accuracy is not only affected by the classifier but also limited by the effect of music feature extraction, which leads to poor classification accuracy and stability. In response to the abovementioned defects, a deep-learning-based music style classification method will be studied. The music signal is framed using filters and Hamming windows, and the MFCC coefficient features of music are extracted by discrete Fourier transform. A convolutional recurrent neural network structure combining CNN and RNN is designed and trained to determine the parameters to achieve music style classification. Analysis of the simulation experimental data shows that the classification accuracy of the studied classification method is at least 93.3%, and the classification time overhead is significantly reduced, the classification results are stable, and the results are reliable.
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spelling pubmed-87894152022-01-26 Research on Music Style Classification Based on Deep Learning Wang, Wei Sohail, Mishal Comput Math Methods Med Research Article Music style is one of the important labels for music classification, and the current music style classification methods extract features such as rhythm and timbre of music and use classifiers to achieve classification. The classification accuracy is not only affected by the classifier but also limited by the effect of music feature extraction, which leads to poor classification accuracy and stability. In response to the abovementioned defects, a deep-learning-based music style classification method will be studied. The music signal is framed using filters and Hamming windows, and the MFCC coefficient features of music are extracted by discrete Fourier transform. A convolutional recurrent neural network structure combining CNN and RNN is designed and trained to determine the parameters to achieve music style classification. Analysis of the simulation experimental data shows that the classification accuracy of the studied classification method is at least 93.3%, and the classification time overhead is significantly reduced, the classification results are stable, and the results are reliable. Hindawi 2022-01-18 /pmc/articles/PMC8789415/ /pubmed/35087600 http://dx.doi.org/10.1155/2022/3699885 Text en Copyright © 2022 Wei Wang and Mishal Sohail. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Wang, Wei
Sohail, Mishal
Research on Music Style Classification Based on Deep Learning
title Research on Music Style Classification Based on Deep Learning
title_full Research on Music Style Classification Based on Deep Learning
title_fullStr Research on Music Style Classification Based on Deep Learning
title_full_unstemmed Research on Music Style Classification Based on Deep Learning
title_short Research on Music Style Classification Based on Deep Learning
title_sort research on music style classification based on deep learning
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8789415/
https://www.ncbi.nlm.nih.gov/pubmed/35087600
http://dx.doi.org/10.1155/2022/3699885
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