• Computer Science
  • Published in ISMIR 2007

Bayesian Aggregation for Hierarchical Genre Classification

@inproceedings{DeCoro2007BayesianAF,
  title={Bayesian Aggregation for Hierarchical Genre Classification},
  author={Christopher DeCoro and Zafer Barutçuoglu and Rebecca Fiebrink},
  booktitle={ISMIR},
  year={2007}
}
Hierarchical taxonomies of classes arise in the analysis of many types of musical information, including genre, as a means of organizing overlapping categories at varying levels of generality. [...] Key ResultExperiments on the MIREX 2005 symbolic genre classification dataset show that our Bayesian Aggregation algorithm provides significant improvement over independent classifiers, and demonstrates superior performance compared to previous work. Our method also improves similarity search by ranking songs by… Expand Abstract

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