Jeffrey A. Richards and Jill Gilkerson work for the LENA Research Foundation, the organization that owns the database of all-day recordings collected with the LENA Digital Language Processor. The content is the responsibility of all listed authors.
Stability and Validity of an Automated Measure of Vocal Development From Day-Long Samples in Children With and Without Autism Spectrum Disorder
Article first published online: 21 FEB 2013
© 2013 International Society for Autism Research, Wiley Periodicals, Inc.
Volume 6, Issue 2, pages 103–107, April 2013
How to Cite
Yoder, P. J., Oller, D. K., Richards, J. A., Gray, S. and Gilkerson, J. (2013), Stability and Validity of an Automated Measure of Vocal Development From Day-Long Samples in Children With and Without Autism Spectrum Disorder. Autism Res, 6: 103–107. doi: 10.1002/aur.1271
- Issue published online: 23 APR 2013
- Article first published online: 21 FEB 2013
- Manuscript Accepted: 4 DEC 2012
- Manuscript Received: 7 AUG 2012
- NIDCD. Grant Number: R01 DC011027
- NICHD. Grant Number: P30HD15052
- Plough Foundation
- LENA Research Foundation
- developmental psychology;
- clinical psychology
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.