Identifying Language Disorder in Bilingual Children Using Automatic Speech Recognition.

ABSTRACT:

Purpose

The differential diagnosis of developmental language disorder (DLD) in bilingual children represents a unique challenge due to their distributed language exposure and knowledge. The current evidence indicates that dual-language testing yields the most accurate classification of DLD among bilinguals, but there are limited personnel and resources to support this practice. The purpose of this study was therefore to determine the feasibility of dual-language automatic speech recognition (ASR) for identifying DLD in bilingual children.

Method

Eighty-four Spanish-English bilingual second graders with (n = 25) and without (n = 59) confirmed diagnoses of DLD completed the Bilingual English-Spanish Assessment-Middle Extension Morphosyntax in both languages. Thei

SUBMITTER: Albudoor N 

PROVIDER: S-EPMC9584134 | biostudies-literature | 2022 Jul

REPOSITORIES: biostudies-literature