Accuracy of the Language Environment Analyses (LENATM) system for estimating child and adult speech in laboratory settings. Issue 3 (21st May 2021)

• Record Type: Journal Article
• Authors: MARCHMAN, Virginia A.; WEISLEDER, Adriana; HURTADO, Nereyda; FERNALD, Anne
• Is Part Of: Journal of child language. Volume 48:Issue 3(2021)
• Page Start: 605
• Page End: 620
• Publication Date: 2021-05-21
• Subjects: Children -- Language -- Periodicals; 401.9305
• DOI: 10.1017/S0305000920000380
• Languages: English
• ISSNs: 0305-0009

Abstract

Abstract: Laboratory observations are a mainstay of language development research, but transcription is costly. We test whether speech recognition technology originally designed for day-long contexts can be usefully applied to this use-case. We compared automated adult word and child vocalization counts from Language Environment Analysis (LENA TM ) to those of transcribers in 20-minute play sessions with Spanish-speaking dyads ( n = 104) at 1;7 and 2;2. For adult words, results indicated moderate associations but large absolute differences. Associations for child vocalizations were weaker with larger absolute discrepancies. LENA has moderate potential to ease the burden of transcription in some research and clinical applications.