期刊名称：International Journal of Signal Processing, Image Processing and Pattern Recognition
印刷版ISSN：2005-4254
出版年度：2013
卷号：6
期号：3
出版社：SERSC
摘要：In this paper, the execution of some features based on wavelet transform are evaluated through classification of audio to speech and music using the MLP classifiers Optimized by Genetic Algorithm. Classification results show the wavelet features are completely successful in speech/music classification. Experimental comparisons using different wavelets are presented and discussed. By using some wavelet features, extracted from 1- second segments of the signal, we obtained 96.49% accuracy in the audio classification of the MLP classifiers optimized by genetic algorithm.
关键词：wavelet; Genetic Algorithm; multi layer perceptron; audio classification
