2022
DOI: 10.3233/jifs-212473
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Neonatal cry signal prediction and classification via dense convolution neural network

Abstract: The study of neonatal cry signals is always an interesting topic and still researcher works interminably to develop some module to predict the actual reason for the baby cry. It is really hard to predict the reason for their cry. The main focus of this paper is to develop a Dense Convolution Neural network (DCNN) to predict the cry. The target cry signal is categorized into five class based on their sound as “Eair”, “Eh”, “Neh”, “Heh” and “Owh”. Prediction of these signals helps in the detection of infant cry … Show more

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Cited by 5 publications
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References 29 publications
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