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A fast audio similarity retrieval method for millions of music tracks
2010
Multimedia tools and applications
We present a filter-and-refine method to speed up nearest neighbor searches with the Kullback-Leibler divergence for multivariate Gaussians. This combination of features and similarity estimation is of special interest in the field of automatic music recommendation as it is widely used to compute music similarity. However, the non-vectorial features and a non-metric divergence make using it with large corpora difficult, as standard indexing algorithms can not be used. This paper proposes a
doi:10.1007/s11042-010-0679-8
fatcat:bjqi4ujejbgtlm4b4uzhaxz4fa