Inter genre similarity modeling for automatic music genre classification
2006 IEEE 14th Signal Processing and Communications Applications Conference
Abstract
An abstract is not available in the lab archive. View the paper at its source.
This 2006 conference paper by Ulaş Bağcı and Engin Erzin investigates inter-genre similarity modeling to reduce confusion between music genres in automatic classification.
Summary
The paper studies inter-genre similarity modeling (IGS) as an approach to automatic music genre classification. The authors describe extracting similarity information from misclassified feature examples and modeling it to address confusion between genres. The available abstract reports classification improvements, but does not provide enough detail here to characterize the evaluation or its limitations.
Cite this work
Ulaş Bağcı; Engin Erzin (2006). Inter genre similarity modeling for automatic music genre classification. 2006 IEEE 14th Signal Processing and Communications Applications Conference https://doi.org/10.1109/SIU.2006.1659788
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