• 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