DOAJ Open Access 2023

Novel mathematical model for the classification of music and rhythmic genre using deep neural network

Swati A. Patil G. Pradeepini Thirupathi Rao Komati

Abstrak

Abstract Music Genre Classification (MGC) is a crucial undertaking that categorizes Music Genre (MG) based on auditory information. MGC is commonly employed in the retrieval of music information. The three main stages of the proposed system are data readiness, feature mining, and categorization. To categorize MG, a new neural network was deployed. The proposed system uses features from spectrographs derived from short clips of songs as inputs to a projected scheme building to categorize songs into an appropriate MG. Extensive experiment on the GTZAN dataset, Indian Music Genre(IMG) dataset, Hindustan Music Rhythm (HMR) and Tabala Dataset show that the proposed strategy is more effective than existing methods. Indian rhythms were used to test the proposed system design. The proposed system design was compared with other existing algorithms based on time and space complexity.

Topik & Kata Kunci

Computer engineering. Computer hardware Information technology Electronic computers. Computer science

Penulis (3)

Swati A. Patil

G. Pradeepini

Thirupathi Rao Komati

Format Sitasi

APA MLA BibTeX

Patil, S.A., Pradeepini, G., Komati, T.R. (2023). Novel mathematical model for the classification of music and rhythmic genre using deep neural network. https://doi.org/10.1186/s40537-023-00789-2

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Informasi Jurnal

Tahun Terbit: 2023
Sumber Database: DOAJ
DOI: 10.1186/s40537-023-00789-2
Akses: Open Access ✓