dc.contributor.author	Lively, Sarah
dc.date.accessioned	2013-06-24T18:48:05Z
dc.date.available	2013-06-24T18:48:05Z
dc.date.issued	2013-06-24
dc.identifier.uri	http://hdl.handle.net/10428/1242
dc.description	Graduate Symposium 2013 Poster by Sarah Lively for the Department of Communication Sciences and Disorders	en_US
dc.description.abstract	Language sample analysis is imperative for language assessment in young children. Computer technology, Language Environmental Analysis System (LENATM), collects language samples and employs Automatic Speech Recognition (ASR) to automatically generate language assessment. Data were gathered from 26 families with children aged 24 to 48 months old. A small correlation effect was present, but more research is necessary for validation.	en_US
dc.description.sponsorship	Jade Coston	en_US
dc.language.iso	en_US	en_US
dc.subject	LENA	en_US
dc.subject	Language Environmental Analysis System	en_US
dc.subject	AVA	en_US
dc.subject	Automatic Vocalization Assessment	en_US
dc.subject	Mean Lenght of Utterance	en_US
dc.title	Computer-Generated and Traditional Language Sample Analysis	en_US
dc.type	Learning Object	en_US
dc.type	Presentation	en_US