Discrete Mutative Particle Swarm Optimisation of MFCC computation for classifying hypothyroidal infant cry

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Discrete Mutative Particle Swarm Optimisation of MFCC computation for classifying hypothyroidal infant cry

This paper describes the optimization of Mel Frequency Cepstral Coefficients (MFCC) parameters using Discrete Mutative Particle Swarm Optimization (DMPSO) for diagnosis of hypothyroidism in infants. The MFCC was used to extract the feature set from infant cry signals. The features were then classifi...

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Bibliographic Details
Published in:	ICCAIE 2010 - 2010 International 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:	2010
Online Access:	https://www.scopus.com/inward/record.uri?eid=2-s2.0-79953865285&doi=10.1109%2fICCAIE.2010.5735149&partnerID=40&md5=a6d9efdb621a564e88437aa0214e4e10

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