The Ohio Child Speech Corpus

IF 3 3区 计算机科学 Q2 ACOUSTICS Speech Communication Pub Date : 2025-03-04 DOI:10.1016/j.specom.2025.103206
Laura Wagner , Sharifa Alghowinhem , Abeer Alwan , Kristina Bowdrie , Cynthia Breazeal , Cynthia G. Clopper , Eric Fosler-Lussier , Izabela A. Jamsek , Devan Lander , Rajiv Ramnath , Jory Ross
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Abstract

This paper reports on the creation and composition of a new corpus of children's speech, the Ohio Child Speech Corpus, which is publicly available on the Talkbank-CHILDES website. The audio corpus contains speech samples from 303 children ranging in age from 4 – 9 years old, all of whom participated in a seven-task elicitation protocol conducted in a science museum lab. In addition, an interactive social robot controlled by the researchers joined the sessions for approximately 60% of the children, and the corpus itself was collected in the peri‑pandemic period. Two analyses are reported that highlighted these last two features. One set of analyses found that the children spoke significantly more in the presence of the robot relative to its absence, but no effects of speech complexity (as measured by MLU) were found for the robot's presence. Another set of analyses compared children tested immediately post-pandemic to children tested a year later on two school-readiness tasks, an Alphabet task and a Reading Passages task. This analysis showed no negative impact on these tasks for our highly-educated sample of children just coming off of the pandemic relative to those tested later. These analyses demonstrate just two possible types of questions that this corpus could be used to investigate.
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俄亥俄州儿童语言语料库
本文报道了一个新的儿童语言语料库——俄亥俄儿童语言语料库的创建和组成,该语料库可在Talkbank-CHILDES网站上公开获取。音频语料库包含了303名4 - 9岁儿童的语音样本,他们都参加了在科学博物馆实验室进行的七项任务启发协议。此外,由研究人员控制的交互式社交机器人参加了约60%儿童的会议,语料库本身是在大流行期间收集的。有两个分析报告强调了最后两个特征。一组分析发现,孩子们在机器人在场的情况下比没有机器人的情况下说得更多,但没有发现机器人在场对语言复杂性(根据MLU测量)的影响。另一组分析将大流行后立即接受测试的儿童与一年后接受两项入学准备任务测试的儿童进行了比较,这两项任务是字母表任务和阅读段落任务。这一分析显示,与后来接受测试的儿童相比,刚从大流行中恢复过来的高学历儿童样本对这些任务没有负面影响。这些分析仅展示了该语料库可用于调查的两种可能类型的问题。
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来源期刊
Speech Communication
Speech Communication 工程技术-计算机:跨学科应用
CiteScore
6.80
自引率
6.20%
发文量
94
审稿时长
19.2 weeks
期刊介绍: Speech Communication is an interdisciplinary journal whose primary objective is to fulfil the need for the rapid dissemination and thorough discussion of basic and applied research results. The journal''s primary objectives are: • to present a forum for the advancement of human and human-machine speech communication science; • to stimulate cross-fertilization between different fields of this domain; • to contribute towards the rapid and wide diffusion of scientifically sound contributions in this domain.
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