ChatterBaby™ compares your baby's sounds to the sounds in our database, predicting whether and why your baby is crying. With the help of artificial intelligence, our algorithm predicts with over 90% accuracy whether your baby is crying or not, and correctly flags over 90% of pain cries.
How it Works:
ChatterBaby™ is a project at UCLA inspired by Dr. Ariana Anderson, mother of four and professor at the UCLA Semel Institute for Neuroscience and Human Behavior. Born at the UCLA Code for the Mission, ChatterBaby™ was originally designed to substitute infant sound with labeled states, initially targeted to help Deaf parents understand their baby's cries so that they could act appropriately to their infants' and toddlers' vocal cues.
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