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

Virginia A. Marchman*, Adriana Weisleder, Nereyda Hurtado, Anne Fernald

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

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 (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.

Original languageEnglish (US)
Pages (from-to)605-620
Number of pages16
JournalJournal of Child Language
Volume48
Issue number3
DOIs
StatePublished - May 2021

ASJC Scopus subject areas

  • Language and Linguistics
  • Experimental and Cognitive Psychology
  • Developmental and Educational Psychology
  • Linguistics and Language
  • Psychology(all)

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