Three-dimensional particle swam optimisation of Mel Frequency Cepstrum Coefficient computation and multilayer perceptron neural network for classifying asphyxiated infant cry

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Three-dimensional particle swam optimisation of Mel Frequency Cepstrum Coefficient computation and multilayer perceptron neural network for classifying asphyxiated infant cry

The performance Mel Frequency Cepstrum Coefficient (MFCC) in extracting significant feature is influence by several important parameter settings, namely the number of filter banks, and the number of coefficients used in the final representation. These settings affect the way the features are represe...

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Bibliographic Details
Published in:	ICCAIE 2011 - 2011 IEEE Conference on Computer Applications and Industrial Electronics
Main Author:	Zabidi A.; Mansor W.; Khuan L.Y.; Yassin I.M.; Sahak R.
Format:	Conference paper
Language:	English
Published:	2011
Online Access:	https://www.scopus.com/inward/record.uri?eid=2-s2.0-84858785477&doi=10.1109%2fICCAIE.2011.6162147&partnerID=40&md5=b9e17a38216d602ca979da8224e0e1e1

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