Classification of infant crying to identify pathologies in recently born babies with ANFIS

Abstract

In this work we present the design of an Automatic Infant Cry Recognizer hybrid system, that classifies different kinds of cries, with the objective of identifying some pathologies in recently born babies. These cries are recordings of normal, deaf and asphyxiating infants, of ages from 1 day up to one year old. For its acoustic processing we used a free software tool called Praat [1]. Additionally, we used Matlab to implement the system, based on ANFIS [2], to classify the infant's crying. In the model here presented, we classify the input vectors in three corresponding classes, normal cry, hypo acoustic (deaf) and asphyxiating cries. We have obtained scores up to 96 % in precision on the classification. © Springer-Verlag 2004.