Orthogonal least square based support vector machine for the classification of infant cry with asphyxia

This paper describes the classification of asphyxiated infant cry using orthogonal least square (OLS) based Support vector machine (SVM). The features of the cry signal were extracted using mel frequency cepstral coefficient analysis and significant features were selected using OLS. SVM with linear...

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Bibliographic Details
Published in:Proceedings - 2010 3rd International Conference on Biomedical Engineering and Informatics, BMEI 2010
Main Author: Sahak R.; Mansor W.; Lee Y.K.; Mohd Yassin A.I.; Zabidi A.
Format: Conference paper
Language:English
Published: 2010
Online Access:https://www.scopus.com/inward/record.uri?eid=2-s2.0-78650670629&doi=10.1109%2fBMEI.2010.5639300&partnerID=40&md5=4b567b7c2423b9bce1c7ef9ce9270695