Research Database

Accuracy of the Language Environment Analysis system segmentation and metrics: A systematic review

Topic:

NR

Authors:

Cristia, Bulgarelli, Bergelson

Journal/Publication:

Journal of Speech, Language, and Hearing Research

Year:

2020
Participant Age Range:
NA –
N/A months

Sample Size:

NA

Participant Language:

NA

Abstract:

Purpose: The Language Environment Analysis (LENA) system provides automated measures facilitating clinical and nonclinical research and interventions on language development, but there are only a few, scattered independent reports of these measures’ validity. The objectives of the current systematic review were to (a) discover studies comparing LENA output with manual annotation, namely, accuracy of talker labels, as well as involving adult word counts (AWCs), conversational turn counts (CTCs), and child vocalization counts (CVCs); (b) describe them qualitatively; (c) quantitatively integrate them to assess central tendencies; and (d) quantitatively integrate them to assess potential moderators.