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Detecting Music Genre Using Extreme Gradient Boosting

Authors :
Günther Specht
Benjamin Murauer
Source :
WWW (Companion Volume)
Publication Year :
2018
Publisher :
ACM Press, 2018.

Abstract

This paper summarizes our contribution to the CrowdAI music genre classification challenge "Learning to Recognise Musical Genre from Audio on the Web'' as part of the WebConference 2018. We utilize different approaches from the field of music analysis to predict the music genre of given mp3 music files, including a convolutional neural network for spectrogram classification, deep neural networks and ensemble methods using various numerical audio features. Our best results were obtained by an extreme gradient boosting classifier.

Details

Database :
OpenAIRE
Journal :
Companion of the The Web Conference 2018 on The Web Conference 2018 - WWW '18
Accession number :
edsair.doi...........bfcf96aec91d1107a67af2621df223e9
Full Text :
https://doi.org/10.1145/3184558.3191822