Application of Independent Component Analysis for Infant Cries Separation

The research on analysing infant crying has received many attentions in recent years. In our prior work, a baby crying translation method called infant crying translator was proposed and showed high recognition accuracy. However, in a real environment, there may be more than one baby crying. These mixed cries will seriously affect the accuracy of recognition. In order to isolate these mixed cries, the independent component analysis was adopted herein. Experimental results show that the proposed method can separate out the mixed cries and greatly improves the recognition rate of infant crying translator. The recognition rate increased from 34% to 68%.