Classification of cries of infants with cleft-palate using parallel hidden Markov models.

This paper addresses the problem of classification of infants with cleft palate. A hidden Markov model (HMM)-based cry classification algorithm is presented. A parallel HMM (PHMM) for coping with age masking, based on a maximum-likelihood decision rule, is introduced. The performance of the proposed...

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Bibliographic Details

Published in:	Medical & Biological Engineering & Computing Vol. 46; no. 10; pp. 965 - 976
Main Authors:	Lederman D, Zmora E, Hauschildt S, Stellzig-Eisenhauer A, Wermke K, Lederman, Dror, Zmora, Ehud, Hauschildt, Stephanie, Stellzig-Eisenhauer, Angelika, Wermke, Kathleen
Format:	research Journal Article
Published:	Springer Nature Oct2008
Online Access:	View this record in EBSCOhost