title: Stability and validity of an automated measure of vocal development from day-long samples in children with and without autism spectrum disorder.
abstract: Individual difference measures of vocal development may eventually aid our understanding of the variability in spoken language acquisition in children with autism spectrum disorder (ASD). Large samples of child vocalizations may be needed to maximize the stability of vocal development estimates. Day-long vocal samples can now be automatically analyzed based on acoustic characteristics of speech likeness identified in theoretically driven and empirically cross-validated quantitative models of typical vocal development. This report indicates that a single day-long recording can produce a stable estimate for a measure of vocal development that is highly related to expressive spoken language in a group of young children with ASD and in a group that is typically developing. Autism Res 2013, 6: 103-107. © 2013 International Society for Autism Research, Wiley Periodicals, Inc.
authors: Special Education Department, Vanderbilt University, Nashville, TN 37203, USA. paul.yoder@vanderbilt.edu
authors: Paul J
authors: PJ
authors: Yoder
authors: D Kimbrough
authors: DK
authors: Oller
authors: Jeffrey A
authors: JA
authors: Richards
authors: Sharmistha
authors: S
authors: Gray
authors: Jill
authors: J
authors: Gilkerson
mesh_terms: D002659:Child Development Disorders, Pervasive / Q000150:complications*; D002675:Child, Preschool; D005260:Female; D006801:Humans; D007804:Language Development; D007805:Language Development Disorders / Q000150:complications* / Q000175:diagnosis*; D008297:Male; D015203:Reproducibility of Results; D013060:Speech / Q000502:physiology*; D013068:Speech Production Measurement / Q000295:instrumentation / Q000379:methods* / Q000592:standards*
keywords: clinical psychology; developmental psychology; infants; pediatrics