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dc.contributor.authorSaraswathy, J.
dc.contributor.authorMuthusamy, Hariharan, Dr.
dc.contributor.authorSazali, Yaacob, Prof. Dr.
dc.contributor.authorWan Khairunizam, Wan Ahmad, Dr,
dc.date.accessioned2012-10-18T08:52:58Z
dc.date.available2012-10-18T08:52:58Z
dc.date.issued2012-02-27
dc.identifier.citationp. 543-548en_US
dc.identifier.isbn978-145771989-9
dc.identifier.urihttp://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6179077
dc.identifier.urihttp://dspace.unimap.edu.my/123456789/21435
dc.descriptionLink to publisher's homepage at http://ieeexplore.ieee.org/en_US
dc.description.abstractThis paper reviews the some of significant works on infant cry signal analysis proposed in the past two decades and reviews the recent progress in this field. The cry of baby cannot be predicted accurately where it is very hard to identify for what it cries for. Experienced parents and specialists in the area of child care such as pediatrician and pediatric nurse can distinguish different sort of cries by just making use their individual perception on auditory sense. This is totally subjective evaluation and not suitable for clinical use. Non-invasive method has been widely used in infant cry signal analysis and has shown very promising results. Various feature extraction and classification algorithms used in infant cry analysis are briefly described. This review gives an insight on the current state of the art works in infant cry signal analysis and concludes with thoughts about the future directions for better representation and interpretation of infant cry signals.en_US
dc.language.isoenen_US
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en_US
dc.relation.ispartofseriesProceedings of the International Conference on Biomedical Engineering (ICoBE 2012)en_US
dc.subjectAcoustic analysisen_US
dc.subjectInfant cryen_US
dc.subjectAbnormalitiesen_US
dc.subjectNon invasiveen_US
dc.subjectsignal processingen_US
dc.subjectPattern recognitionen_US
dc.titleAutomatic classification of infant cry: A reviewen_US
dc.typeWorking Paperen_US
dc.contributor.urlwathy_87@ymail.comen_US


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