Neural Network Music Genre Classification
Nikki Pelchat, Craig Gelowitz
Abstract
Music genre classification utilizing neural networks (NNs) has achieved some limited success in recent years. Differences in song libraries, machine learning techniques, input formats, and types of NNs implemented have all had varying levels of success. This article reviews some of the machine learning techniques utilized in this area. It also presents research work on music genre classification. The research uses images of spectrograms generated from timeslices of songs as the input into an NN to classify the songs into their respective musical genres.
Topics & Concepts
SpectrogramComputer scienceArtificial neural networkMusicalArtificial intelligenceSpeech recognitionMachine learningArtVisual artsMusic and Audio ProcessingMusic Technology and Sound StudiesDiverse Musicological Studies