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Unsupervised accuracy improvement for cover song detection using Spectral Connectivity Network

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text
 

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article
 

Forme(s)

document numérique
 

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Titre

Unsupervised accuracy improvement for cover song detection using Spectral Connectivity Network
 

Nom(s)

Lagrange, Mathieu (auteur)
 
Serra, Joan (auteur)
 

Publication

Utrecht, Netherlands , 2010
 

Description

Résumé

This paper introduces a new method for improving the accuracy in medium scale music similarity problems. Re- cently, it has been shown that the raw accuracy of query by example systems can be enhanced by considering pri- ors about the distribution of its output or the structure of the music collection being considered. The proposed ap- proach focuses on reducing the dependency to those priors by considering an eigenvalue decomposition of the afore- mentioned system's output. Experiments carried out in the framework of cover song detection show that the proposed approach has good performance for enhancing a high accu- racy system. Furthermore, it maintains the accuracy level for lower performing systems.
 

Note(s)

Contribution au colloque ou congrès : International Conference on Music Information Retrieval
 

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Date de la notice

2010-06-30 02:00:00
 

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