Journal of Artificial Intelligence, Machine Learning and Soft Computing

Abstract

Crying is the primary sound child makes when he/she enters the world. It is a response to address different circumstances including pain, hungry, lonely, discomfort etc. Parents or guardians endeavour to recognize and timely address the reason for the infant cry before crying sets in. Anyway first time they often fail. This prompts to dissatisfaction and feeling of helplessness. This paper proposes the system to predict the reason for the baby cries using machine learning. To predict the causes, this system takes baby crying audio as input, processes it, gives causes and suggestions about the actions to be taken, as output.

Keywords: Machine learning, infant cry, MFCC, KNN, python_speech_features.