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Automatic classification of infant cry: A review

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Main Authors: Saraswathy, J., Muthusamy, Hariharan, Dr., Sazali, Yaacob, Prof. Dr., Wan Khairunizam, Wan Ahmad, Dr,
Other Authors: wathy_87@ymail.com
Format: Working Paper
Language:English
Published: Institute of Electrical and Electronics Engineers (IEEE) 2012
Subjects:
Acoustic analysis
Infant cry
Abnormalities
Non invasive
signal processing
Pattern recognition
Online Access:http://dspace.unimap.edu.my/xmlui/handle/123456789/21435
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spelling my.unimap-214352012-10-18T08:52:58Z Automatic classification of infant cry: A review Saraswathy, J. Muthusamy, Hariharan, Dr. Sazali, Yaacob, Prof. Dr. Wan Khairunizam, Wan Ahmad, Dr, wathy_87@ymail.com Acoustic analysis Infant cry Abnormalities Non invasive signal processing Pattern recognition Link to publisher's homepage at http://ieeexplore.ieee.org/ This 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. 2012-10-18T08:52:58Z 2012-10-18T08:52:58Z 2012-02-27 Working Paper p. 543-548 978-145771989-9 http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6179077 http://hdl.handle.net/123456789/21435 en Proceedings of the International Conference on Biomedical Engineering (ICoBE 2012) Institute of Electrical and Electronics Engineers (IEEE)
institution Universiti Malaysia Perlis
building UniMAP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Perlis
content_source UniMAP Library Digital Repository
url_provider http://dspace.unimap.edu.my/
language English
topic Acoustic analysis
Infant cry
Abnormalities
Non invasive
signal processing
Pattern recognition
spellingShingle Acoustic analysis
Infant cry
Abnormalities
Non invasive
signal processing
Pattern recognition
Saraswathy, J.
Muthusamy, Hariharan, Dr.
Sazali, Yaacob, Prof. Dr.
Wan Khairunizam, Wan Ahmad, Dr,
Automatic classification of infant cry: A review
description Link to publisher's homepage at http://ieeexplore.ieee.org/
author2 wathy_87@ymail.com
author_facet wathy_87@ymail.com
Saraswathy, J.
Muthusamy, Hariharan, Dr.
Sazali, Yaacob, Prof. Dr.
Wan Khairunizam, Wan Ahmad, Dr,
format Working Paper
author Saraswathy, J.
Muthusamy, Hariharan, Dr.
Sazali, Yaacob, Prof. Dr.
Wan Khairunizam, Wan Ahmad, Dr,
author_sort Saraswathy, J.
title Automatic classification of infant cry: A review
title_short Automatic classification of infant cry: A review
title_full Automatic classification of infant cry: A review
title_fullStr Automatic classification of infant cry: A review
title_full_unstemmed Automatic classification of infant cry: A review
title_sort automatic classification of infant cry: a review
publisher Institute of Electrical and Electronics Engineers (IEEE)
publishDate 2012
url http://dspace.unimap.edu.my/xmlui/handle/123456789/21435
_version_ 1643793397676244992
score 13.160551

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