The JIBO Kids Corpus: A speech dataset of child-robot interactions in a classroom environment.

IF 1.2 Q3 ACOUSTICS JASA express letters Pub Date : 2024-11-01 DOI:10.1121/10.0034195
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
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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.

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JIBO 儿童语料库:课堂环境中儿童与机器人互动的语音数据集。
本文介绍了通过使用社交机器人智宝收集到的儿童语音原始数据集。该数据集包含 110 名 4-7 岁儿童的录音,他们参与了字母和数字识别任务以及需要解释技能的扩展口头话语任务,共计 21 小时的会话数据。该数据集的收集时间跨度为两年,其中包含一个纵向部分,一部分参与者会返回进行重复记录。该数据集包括会话记录和转录,可公开获取,为研究人员提供了宝贵的资源,有助于推进对儿童语言发展的研究。
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The JIBO Kids Corpus: A speech dataset of child-robot interactions in a classroom environment. The perceptual distinctiveness of the [n-l] contrast in different vowel and tonal contexts. Ambient noise source characterization using spectral, coherence, and directionality estimates at Kongsfjorden. Speaker adaptation using codebook integrated deep neural networks for speech enhancement. Fundamental frequency predominantly drives talker differences in auditory brainstem responses to continuous speech.
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