Back to Search
Start Over
Detecting Music Genre Using Extreme Gradient Boosting
- 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.
- Subjects :
- Artificial neural network
Computer science
business.industry
020209 energy
02 engineering and technology
Musical
computer.software_genre
Ensemble learning
Convolutional neural network
ComputingMethodologies_PATTERNRECOGNITION
Music theory
0202 electrical engineering, electronic engineering, information engineering
Spectrogram
020201 artificial intelligence & image processing
Gradient boosting
Artificial intelligence
business
computer
Classifier (UML)
Natural language processing
Subjects
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