The JIBO Kids Corpus: A speech dataset of child-robot interactions in a classroom environment
Name
115201_1_10.0034195.pdf
Description
Published version
Size
1.61 MB
Format
Adobe PDF
Checksum (MD5)
43ac97e0d0bbe076d5a4da68f148c73b
Author(s)
Shankar, Natarajan Balaji
Afshan, Amber
Johnson, Alexander
Mahapatra, Aurosweta
Martin, Alejandra
Ni, Haolun
Park, Hae Won
Perez, Marlen Quintero
Yeung, Gary
Bailey, Alison
Date Issued
November 1, 2024
Journal
JASA Express Letters
Publisher
Acoustical Society of America
Citation
Natarajan Balaji Shankar, Amber Afshan, Alexander Johnson, Aurosweta Mahapatra, Alejandra Martin, Haolun Ni, Hae Won Park, Marlen Quintero Perez, Gary Yeung, Alison Bailey, Cynthia Breazeal, Abeer Alwan; The JIBO Kids Corpus: A speech dataset of child-robot interactions in a classroom environment. JASA Express Lett. 1 November 2024; 4 (11): 115201.
Version
Final published version
Abstract
This paper describes an original dataset of children's speech, collected through the use of JIBO, a social robot. The dataset encompasses recordings from 110 children, aged 4–7 years old, who participated in a letter and digit identification task and extended oral discourse tasks requiring explanation skills, totaling 21 h of session data. Spanning a 2-year collection period, this dataset contains a longitudinal component with a subset of participants returning for repeat recordings. The dataset, with session recordings and transcriptions, is publicly available, providing researchers with a valuable resource to advance investigations into child language development.
MIT Department
Massachusetts Institute of Technology. Media Laboratory
Terms of Use
Creative Commons Attribution
Persistent DSpace Link
DOI of Published Version
10.1121/10.0034195
