Research Database

Automated assessment of child vocalization development using LENA

Topic:

Language Delay,Typically Developing

Authors:

Richards, Xu, Gilkerson, Yapanel, Gray, Paul

Journal/Publication:

Journal of Speech, Language, and Hearing Research

Year:

2017
Participant Age Range:
2 –
48 months

Sample Size:

360

Participant Language:

English

Abstract:

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.

Related Topics

Journal / Publication: Journal of Speech, Language, and Hearing Research

Free Webinar: Redesigning Support for New Teachers

What if the key to a stronger early childhood workforce isn’t just better hiring — it’s better beginnings?
New research from LENA, in partnership with Porter-Leath in Tennessee, reveals that the first months of a teacher’s career are pivotal — not just for retention, but for informing quality, confidence, and long-term growth.
Read more here > 

June 10 at 1:00 p.m. ET

This field is for validation purposes and should be left unchanged.
Name(Required)
State / Region