Abstract
Content-based music navigation systems are in need
of robust music similarity measures. Current similarity measures
model each song with the same model parameters. We propose
methods to efficiently estimate the required number of model
parameters of each individual song. First results of a study
on relationships between a small set of basic audio features
are presented. We conclude that there are only very small
correlations between models on low- and on high-dimensional
features.
When we compare a very simple clustering algorithm with
an algorithm that estimates model parameters using the MDL
criterium, we find a surprisingly strong correlation between the
estimated number of mixture components.
Original language | English |
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Title of host publication | Proceedings 17th Annual Workshop on Circuits, Systems and Signal Processing 2006 |
Publisher | STW |
Pages | 121-124 |
Number of pages | 4 |
Edition | CD-ROM |
ISBN (Print) | 978-90-73461-44-4 |
Publication status | Published - 23 Nov 2006 |
Event | 17th Annual Workshop on Circuits, Systems and Signal Processing, ProRISC 2006 - Veldhoven, Netherlands Duration: 23 Nov 2006 → 24 Nov 2006 Conference number: 17 |
Workshop
Workshop | 17th Annual Workshop on Circuits, Systems and Signal Processing, ProRISC 2006 |
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Abbreviated title | ProRISC 2006 |
Country/Territory | Netherlands |
City | Veldhoven |
Period | 23/11/06 → 24/11/06 |