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
{"title":"The JIBO Kids Corpus: A speech dataset of child-robot interactions in a classroom environment.","authors":"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","doi":"10.1121/10.0034195","DOIUrl":null,"url":null,"abstract":"<p><p>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.</p>","PeriodicalId":73538,"journal":{"name":"JASA express letters","volume":null,"pages":null},"PeriodicalIF":1.2000,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"JASA express letters","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1121/10.0034195","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ACOUSTICS","Score":null,"Total":0}
引用次数: 0
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.