Baby cries, simplified
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 listens to your baby's cry
- It analyzes the cry by connecting to UCLA's premiere servers to perform our ChatterBaby algorithm
- ChatterBaby predicts the cry's reason by showing the probability of your baby's pain, fussiness, and hunger
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.
