Baby sound database collection and baby condition monitoring using machine learning

Research Overview

The purpose of this research is to monitor the condition of a baby using the sounds that the baby makes. Childcare experts with sufficient experience claim that they can predict the condition of a baby such as the reason for crying with the sound that the baby is making. The goal of this research is to transfer the knowledge of childcare experts to a deep learning model. This deep learning model will benefit new parents struggling to figure out the reason why their baby is crying. The first step of this research is to collect sufficient baby sound database with appropriate tags. The collected database will be used to train out deep learning model.