Using multiclass SVM and MP for audio recognition of action scenes

The paper presents a system for sounds classification of action scenes. We propose to use the matching pursuit (MP) algorithm to obtain effective time-frequency features. The MP-based method utilizes a dictionary of atoms for feature selection, resulting in a flexible, intuitive and physically inter...

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Bibliographic Details
Published in2010 International Conference on Advances in Energy Engineering pp. 273 - 276
Main Authors Wang XiaoHui, Guo FengJuan
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.06.2010
Subjects
audio feature
binary tree
Classification algorithms
Gabor atom
matching pursuit
multiclass SVM
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Summary:The paper presents a system for sounds classification of action scenes. We propose to use the matching pursuit (MP) algorithm to obtain effective time-frequency features. The MP-based method utilizes a dictionary of atoms for feature selection, resulting in a flexible, intuitive and physically interpretable set of features. Then apply multiclass support vector machine based on improved binary tree algorithm to classify the sounds. The paper considers six type sounds: the sword sound, the club sound, the unarmed sound, the broken sound, the metal-falling sound and the shout sound. Experimental results prove that the method is effective.
ISBN:1424478316
9781424478316
DOI:10.1109/ICAEE.2010.5557564