Accuracy of the Language Environment Analyses (LENATM) system for estimating child and adult speech in laboratory settings

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 (LENATM) 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.

Medienart:

E-Artikel

Erscheinungsjahr:

2021

Erschienen:

2021

Enthalten in:

Zur Gesamtaufnahme - volume:48

Enthalten in:

Journal of child language - 48(2021), 3 vom: 20. Mai, Seite 605-620

Sprache:

Englisch

Beteiligte Personen:

Marchman, Virginia A [VerfasserIn]
Weisleder, Adriana [VerfasserIn]
Hurtado, Nereyda [VerfasserIn]
Fernald, Anne [VerfasserIn]

Links:

Volltext

Themen:

Journal Article
Research Support, N.I.H., Extramural
Research Support, Non-U.S. Gov't

Anmerkungen:

Date Completed 03.12.2021

Date Revised 11.11.2023

published: Print-Electronic

Citation Status MEDLINE

doi:

10.1017/S0305000920000380

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

NLM312664230