DAGM 2009: Pattern Recognition pp 302-311 | Cite as
Detecting Hubs in Music Audio Based on Network Analysis
Conference paper
Abstract
Spectral similarity measures are considered among the best-performing audio-based music similarity measures. However, they tend to produce hubs, i.e., songs measured closely to many other songs, to which they have no perceptual similarity. In this paper, we define a novel way to measure the hubness of songs. Based on network analysis methods, we propose a hubness score that is computed by analyzing the interaction of songs in the similarity space. We experimentally evaluate the effectiveness of the proposed approach.
Keywords
Network Analysis Similarity Measure Gaussian Mixture Model Similarity Space Music Signal
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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© Springer-Verlag Berlin Heidelberg 2009