A Cry-Based Babies Identification System
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 infantís 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: Infant cry, classification, neural network, acoustic features.