DEEP LEARNING FOR MUSIC GENRE CLASSIFICATION

Abstract

ABSTRACT: The fundamental concept of this piece is to use neural networks to categorize different musical styles. One method for identifying records is to use specttrophotograms, which are created by feeding audio samples into a neural network. The primary purpose of this research is to investigate the model's properties. On two separate datasets, the NN technique fared better than the alternative. The film employs a Convolution Neural Network model to categorize eleven different forms of music.