Demographic and Acoustic Factors related to Automatic Speech Recognition Inaccuracies for Child African American English Speakers.

ABSTRACT:

Purpose

This study investigated the relationship between acoustic measures and Google's Speech-to-Text inaccuracies in recognizing speech of children ages 4-9 years who speak African American English (AAE).

Methods

Audio recordings were collected from 11 AAE speaking children with speech stimuli targeting final plosive variations observed within the AAE dialect. Dialectal density was measured using the Diagnostic Evaluation of Language Variation Language Screener. Recordings were transcribed using Google's Speech-to-Text application (Google Voice) and inaccuracies were determined through comparison to researcher extracted transcriptions. Acoustic measures from vowels preceding final plosives (including vowel duration, fundamental frequency, average F ₁) wer

SUBMITTER: Fletcher BN 

PROVIDER: S-EPMC12490741 | biostudies-literature | 2025 Sep

REPOSITORIES: biostudies-literature