Application of deep learning for recognizing infant cries
Crying is a way which infants express their needs to their parents. In general, parents often feel worried and anxious when infant crying. For realizing the reason of baby crying, this paper presents an automatic infant crying recognition method. Crying is convert to spectrogram. A convolutional neural networks (CNN) based deep learning is then adopted to train and classify the crying into three categories including hungry, pain, and sleepy. Experimental results shows that the proposed method achieves high classification accuracy.