46 papers with code • 2 benchmarks • 6 datasets
Genre classification is the process of grouping objects together based on defined similarities such as shape, pixel, location, or intensity.
Here, we propose a new method that combines knowledge of human perception study in music genre classification and the neurophysiology of the auditory system.
Inspired by the success of pre-training models in natural language processing, in this paper, we develop MusicBERT, a large-scale pre-trained model for music understanding.
Along with the evolution of music technology, a large number of styles, or "subgenres," of Electronic Dance Music(EDM) have emerged in recent years.
Deep convolutional neural networks (CNNs) have been actively adopted in the field of music information retrieval, e. g. genre classification, mood detection, and chord recognition.