Feature extraction assessment for an acoustic-event classification task using the entropy triangle

Abstract:

We assess the behaviour of 5 different feature extraction methods for an acoustic event classification task - built using the same SVM underlying technology - by means of two different techniques: accuracy and the entropy triangle. The entropy triangle is able to find a classifier instance whose relatively high accuracy stems from an attempt to specialize in some classes to the detriment of the overall behaviour. On all other cases, fair classifiers, accuracy and entropy triangle agree. Copyright © 2011 ISCA.

Año de publicación:

2011

Keywords:

• Classifier evaluation
• Acoustic event classification
• Accuracy entropy triangle
• SVM classifiers

Fuente:

scopus

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