This work presents an infant cry automatic recognizer development, with the objective of classifying three kinds of infant cries, normal, deaf and asphyxia from recently born babies. It is found that the OLS algorithm is effective in enhancing the accuracy of MLP classifier while reducing the computation load. Asphyxia occurs in infants with neurological level disturbance, which is found to affect sound of cry produced by infants. Because the ultimate goal of treatment of hyperbilirubinemia is the prevention of kernicterus, we will also explore the causes of kernicterus and the increased susceptibility in the late preterm. In this paper we describe the whole process; in which we include the acoustic features extraction, the hybrid system design, implementation, training and testing. Flow chart of Young baby infa nt cry auto matic recognition steps.
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