Detecting Pathologies from Infant Cry Applying Scaled Conjugated Gradient Neural Networks
نویسندگان
چکیده
This work presents the development of an automatic recognition system of infant cry, with the objective to classify two types of cry: normal and pathological cry from deaf babies. In this study, we used acoustic characteristics obtained by the Linear Prediction technique and as a classifier a neural network that was trained with the scaled conjugate gradient algorithm. Preliminary results are shown, which, up to the moment, are very encouraging.
منابع مشابه
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