DocumentCode :
3451902
Title :
Analysis of acoustic features of infant cry for classification purposes
Author :
Messaoud, A. ; Tadj, Chakib
Author_Institution :
Ecole de Technol. Super., Montreal, QC, Canada
fYear :
2011
fDate :
8-11 May 2011
Abstract :
The infant´s cry is a vocal signal that was proven to be a way of communication that aims to get the attention of the listener to a given physical state like hunger or pain. This work deals with the analysis of the acoustic features of the infant cry offering a starting point for the development of an automatic classification system. Standard features such as pitch and intensity were analyzed. A sample-based and a sequence-based studies were carried out in order to discover special properties of the infant cry. The preliminary results delivered helpful information about acoustic statistics and correlation between cry features.
Keywords :
acoustic signal processing; bioacoustics; biocommunications; medical signal processing; paediatrics; acoustic features; acoustic statistics; automatic classification system; communication; infant cry; sample-based study; sequence-based study; Acoustics; Correlation; Feature extraction; Harmonic analysis; Pain; Pediatrics; Physiology; Infant cry; acoustic features; fundamental frequency; pitch detection;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electrical and Computer Engineering (CCECE), 2011 24th Canadian Conference on
Conference_Location :
Niagara Falls, ON
ISSN :
0840-7789
Print_ISBN :
978-1-4244-9788-1
Electronic_ISBN :
0840-7789
Type :
conf
DOI :
10.1109/CCECE.2011.6030415
Filename :
6030415
Link To Document :
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