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

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