Neural Network Music Genre Classification

Abstract

Music genre classification utilizing neural networks has achieved some limited success in recent years. Differences in song libraries, machine learning techniques, input formats, and types of neural networks implemented have all had varying levels of success. This paper reviews some of the machine learning techniques utilized in this area. It also presents some initial research work on music genre classification. The research uses images of spectrograms generated from time-slices of songs as the input into a neural network to classify the songs into their respective musical genres.