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The Importance of Cross Database Evaluation in Sound Classification

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text
 

Genre(s)

article
 

Forme(s)

document numérique
 

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Titre

The Importance of Cross Database Evaluation in Sound Classification
 

Nom(s)

Livshin, Arie (auteur)
 
Rodex, Xavier (auteur)
 

Publication

Baltimore, Etats-Unis , 2003
 

Description

Sujet(s)

sound classification   evaluation   sound databases
 

Résumé

In numerous articles (Martin and Kim, 1998; Fraser and Fujinaga, 1999; and many others) sound classification algorithms are evaluated using "self classification" - the learning and test groups are randomly selected out of the same sound database. We will show that "self classification" is not necessarily a good statistic for the ability of a classification algorithm to learn, generalize or classify well. We introduce the alternative "Minus-1 DB" evaluation method and demonstrate that it does not have the shortcomings of "self classification".
 

Note(s)

Contribution au colloque ou congrès : ISMIR 2003
 

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Date de la notice

2010-02-25 01:00:00
 

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