Particle swarm optimisation of mel-frequency cepstral coefficients computation for the classification of asphyxiated infant cry

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Particle swarm optimisation of mel-frequency cepstral coefficients computation for the classification of asphyxiated infant cry

Feature extraction techniques for input representation to diagnose infant diseases have received significant attention recently. Mel Frequency Cepstral Coefficients (MFCC) is one of the most popular feature extraction techniques due to its representation method being very similar to the human audito...

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Bibliographic Details
Published in:	Proceedings - 2010 3rd International Conference on Biomedical Engineering and Informatics, BMEI 2010
Main Author:	Zabidi A.; Mansor W.; Lee Y.K.; Mohd Yassin A.I.; Sahak R.
Format:	Conference paper
Language:	English
Published:	2010
Online Access:	https://www.scopus.com/inward/record.uri?eid=2-s2.0-78650660909&doi=10.1109%2fBMEI.2010.5639674&partnerID=40&md5=ac3c09248c9717ef052d23252267a55d

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