Choice for a support vector machine kernel function for recognizing asphyxia from infant cries

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Choice for a support vector machine kernel function for recognizing asphyxia from infant cries

This paper investigates the performance of several kernel functions of support vector machine in detecting asphyxia from infant cries. In this study, Mel frequency cepstrum coefficients derived from the recorded infant cries were used as the input vectors. These input vectors were trained and classi...

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Bibliographic Details
Published in:	2009 IEEE Symposium on Industrial Electronics and Applications, ISIEA 2009 - Proceedings
Main Author:	Sahak R.; Mansor W.; Khuan L.Y.; Yassin A.I.M.; Zabidi A.; Yasmin F.; Rahman A.
Format:	Conference paper
Language:	English
Published:	2009
Online Access:	https://www.scopus.com/inward/record.uri?eid=2-s2.0-76249121700&doi=10.1109%2fISIEA.2009.5356372&partnerID=40&md5=5b94ba6f2604cfa89882c5ca41bfb2d9

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