12th Annual Conference of the International Speech Communication Association

Florence, Italy
August 27-31. 2011

Feature Extraction Assessment for an Acoustic-Event Classification Task Using the Entropy Triangle

David Mejía-Navarrete, Ascensión Gallardo-Antolín, Carmen Peláez-Moreno, Francisco J. Valverde-Albacete

Universidad Carlos III de Madrid, Spain

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.

Full Paper

Bibliographic reference.  Mejía-Navarrete, David / Gallardo-Antolín, Ascensión / Peláez-Moreno, Carmen / Valverde-Albacete, Francisco J. (2011): "Feature extraction assessment for an acoustic-event classification task using the entropy triangle", In INTERSPEECH-2011, 309-312.