LENA computerized automatic analysis of speech development from birth to three
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.
Publication Title
Proceedings of the 30th Conference on Computational Linguistics and Speech Processing, ROCLING 2018
Recommended Citation
Chen, L., Oller, D., Lee, C., & Jimbo Liu, C. (2018). LENA computerized automatic analysis of speech development from birth to three. Proceedings of the 30th Conference on Computational Linguistics and Speech Processing, ROCLING 2018, 158-168. Retrieved from https://digitalcommons.memphis.edu/facpubs/15614
