The effect of F-ratio in the classification of asphyxiated infant cries using multilayer perceptron neural network

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The effect of F-ratio in the classification of asphyxiated infant cries using multilayer perceptron neural network

Artificial Neural Network has been widely applied for solving pattern recognition problems including infant cry classification for detecting infant health and physical status. Feature extraction is usually performed using Mel Frequency Cepstrum Coefficient (MFCC) analysis. If irrelevant features in...

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Bibliographic Details
Published in:	Proceedings of 2010 IEEE EMBS Conference on Biomedical Engineering and Sciences, IECBES 2010
Main Author:	Zabidi A.; Mansor W.; Khuan L.Y.; Yassin I.M.; Sahak R.
Format:	Conference paper
Language:	English
Published:	2010
Online Access:	https://www.scopus.com/inward/record.uri?eid=2-s2.0-79955421687&doi=10.1109%2fIECBES.2010.5742213&partnerID=40&md5=aad245151b4af2b9f4753e885cdabbe8

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