A Music Classification model based on metric learning applied to MP3 audio files

作者：

Highlights：

• A novel music classification model based on metric learning and feature extraction.

• A study of the feature vector dimension using principal components analysis.

• A study of music similarity using parametrized distances from genre centroids.

摘要

•A novel music classification model based on metric learning and feature extraction.•A study of the feature vector dimension using principal components analysis.•A study of music similarity using parametrized distances from genre centroids.

论文关键词：Music similarity,Metric learning,Feature extraction,Mel frequency cepstral coefficient,Principal components analysis

论文评审过程：Received 2 February 2019, Revised 31 October 2019, Accepted 1 November 2019, Available online 4 November 2019, Version of Record 14 November 2019.

论文官网地址：https://doi.org/10.1016/j.eswa.2019.113071