Computerized home video detection for motherese may help to study impaired interaction between infants who become
Ammar Mahdhaoui1, Mohamed Chetouani, Raquel S Cassel
1Institut des Systèmes Intelligents et de Robotique, Université Pierre et Marie Curie, Paris, France.
Abstract:
Autism is a well-defined clinical syndrome after the second year of life, but information on autism in the first two years of life is still lacking. The study of home videos has described children with autism during the first year of life as not displaying the rigid pattern typical of later symptoms. Therefore, developmental/environmental factors are claimed in addition to genetic/biological ones to explain the onset of autism during maturation. Here we describe (1) a developmental hypothesis focusing on the possible implication of motherese impoverishment during the course of parent-infant interactions as a possible co-factor; (2) the methodological approach we used to develop a computerized algorithm to detect motherese in home videos; (3) the best configuration performance of the detector in extracting motherese from home video sequences (accuracy = 82% on speaker-independent versus 87.5% on speaker-dependent) that we should use to test this hypothesis.
