2007 Articles
Evaluation Distance Measures Between Gaussian Mixture Models of MFCCs
In music similarity and in the related task of genre classification, a distance measure between Gaussian mixture models is frequently needed. We present a comparison of the Kullback-Leibler distance, the earth movers distance and the normalized L2 distance for this application. Although the normalized L2 distance was slightly inferior to the Kullback-Leibler distance with respect to classification performance, it has the advantage of obeying the triangle inequality, which allows for efficient searching.
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JenECJ07-gmmdist.pdf application/pdf 282 KB Download File
Also Published In
- Title
- ISMIR 2007: Proceedings of the 8th International Conference on Music Information Retrieval: September 23-27, 2007, Vienna, Austria
- Publisher
- Austrian Computer Society
More About This Work
- Academic Units
- Electrical Engineering
- Published Here
- June 27, 2012