LENA computerized automatic analysis of speech development from birth to three

Li Mei Chen, D. Kimbrough Oller, Chia Cheng Lee, Chin Ting Jimbo Liu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This study investigated the relationship between the linguistic input children receive and the number of children's vocalizations by using computerized LENA (Language Environment Analysis) system software which is able to collect and analyze the data automatically, instantly, and objectively. Data from three children (two boys and one girl) at ages of 10, 20, and 30 months were analyzed. The results indicated that: 1) child vocalizations (CV) and child-caregiver conversational turns (CT) increased with time while adult word counts (AWC) children overheard in the background decreased; 2) CT is highly correlated with CV. LENA automatic device can substantially shorten the time of data analysis in the study of child language, and provide preliminary results for further analysis.

Original languageEnglish
Title of host publicationProceedings of the 30th Conference on Computational Linguistics and Speech Processing, ROCLING 2018
EditorsChi-Chun Lee, Cheng-Zen Yang, Jen-Tzung Chien, Chen-Yu Chiang, Min-Yuh Day, Richard T.-H. Tsai, Hung-Yi Lee, Wen-Hsiang Lu, Shih-Hung Wu
PublisherThe Association for Computational Linguistics and Chinese Language Processing (ACLCLP)
Pages158-168
Number of pages11
ISBN (Electronic)9789869576918
Publication statusPublished - 2018 Oct 1
Event30th Conference on Computational Linguistics and Speech Processing, ROCLING 2018 - Hsinchu, Taiwan
Duration: 2018 Oct 42018 Oct 5

Publication series

NameProceedings of the 30th Conference on Computational Linguistics and Speech Processing, ROCLING 2018

Conference

Conference30th Conference on Computational Linguistics and Speech Processing, ROCLING 2018
CountryTaiwan
CityHsinchu
Period18-10-0418-10-05

All Science Journal Classification (ASJC) codes

  • Speech and Hearing
  • Language and Linguistics

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