@inproceedings{1fb56f60dd314767bc069fc7f2365561,
title = "A cry-based babies identification system",
abstract = "Human biological signals convey precious information about the physiological and neurological state of the body. Crying is a vocal signal through which babies communicate their needs to their parents who should then satisfy them properly. Most of the researches dealing with infant's cry intend mainly to establish a relationship between the acoustic properties of a cry and the state of the baby such as hunger, pain, illness and discomfort. In this work, we are interested in recognizing babies only by analyzing their cries through the use of an automatic analysis and recognition system using a real cry database.",
keywords = "Acoustic features, Classification, Infant cry, Neural network",
author = "Ali Messaoud and Chakib Tadj",
year = "2010",
doi = "10.1007/978-3-642-13681-8\_23",
language = "English",
isbn = "364213680X",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
pages = "192--199",
booktitle = "Image and Signal Processing - 4th International Conference, ICISP 2010, Proceedings",
note = "4th International Conference on Image and Signal Processing, ICISP 2010 ; Conference date: 30-06-2010 Through 02-07-2010",
}