Purpose This research provided a first-generation standardization of automated language
environment estimates, validated these estimates against standard language assessments,
and extended on previous research reporting language behavior differences across
socioeconomic groups. Method Typically developing children between 2 to 48 months of
age completed monthly, daylong recordings in their natural language environments over a
span of approximately 6–38 months. The resulting data set contained 3,213 12-hr�…

Purpose To produce a novel, efficient measure of children's expressive vocal development
on the basis of automatic vocalization assessment (AVA), child vocalizations were
automatically identified and extracted from audio recordings using Language Environment
Analysis (LENA) System technology. Method Assessment was based on full-day audio
recordings collected in a child's unrestricted, natural language environment. AVA estimates
were derived using automatic speech recognition modeling techniques to categorize and�…