Automated vocal analysis of naturalistic recordings from children with autism, language delay, and typical development.

ABSTRACT: For generations the study of vocal development and its role in language has been conducted laboriously, with human transcribers and analysts coding and taking measurements from small recorded samples. Our research illustrates a method to obtain measures of early speech development through automated analysis of massive quantities of day-long audio recordings collected naturalistically in children's homes. A primary goal is to provide insights into the development of infant control over infrastructural characteristics of speech through large-scale statistical analysis of strategically selected acoustic parameters. In pursuit of this goal we have discovered that the first automated approach we implemented is not only able to track children's development on acoustic parameters known to play ke

SUBMITTER: Oller DK 

PROVIDER: S-EPMC2922144 | biostudies-literature | 2010 Jul

REPOSITORIES: biostudies-literature