The team has employed sound pattern recognition approach that uses a statistical analysis of the frequency of cries and the power function of the audio spectrum to classify different types of crying. They were then able to correlate the different recorded audio spectra with a baby’s emotional state as confirmed by the child’s parents. In their tests recordings of crying babies with a painful genetic disorder, were used to make differentiating between the babies’ pained cries and other types of crying more obvious. They achieved 100% success rate in a validation to classify pained cries and “normal” cries.
I’m a new parent of twin boys, and I could really use something like this. But it would be even better if the algorithm could break down the “normal” cries into specific needs. Mr. Nagashima, you are doing God’s work; faster, please.