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Communication Dans Un Congrès Année : 2010

Unsupervised accuracy improvement for cover song detection using Spectral Connectivity Network

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.
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Dates et versions

hal-01161246 , version 1 (08-06-2015)

Identifiants

  • HAL Id : hal-01161246 , version 1

Citer

Mathieu Lagrange, Joan Serra. Unsupervised accuracy improvement for cover song detection using Spectral Connectivity Network. International Conference on Music Information Retrieval, 2010, Utrecht, Netherlands. pp.1-1. ⟨hal-01161246⟩
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