Assessing Children's Home Language Environments Using Automatic Speech Recognition Technology
Assessing Children's Home Language Environments Using Automatic Speech Recognition Technology
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DOI：
10.1177/1525740110367826
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发表时间：
2011-02-01
影响因子：
0.9
通讯作者：
Gilkerson, Jill
中科院分区：
文献类型：
--
作者：
Greenwood, Charles R.;Thiemann-Bourque, Kathy;Gilkerson, Jill
这项研究的目的是复制和扩展哈特和里斯利的一些发现，使用自动语音处理，而不是人类转录的语言样本。这项工作的长期目标是使研究人员和临床医生每天与家庭和幼儿一起工作的语音处理方法成为可能。十二小时长，数字音频记录，反复获得在家中的中上SES家庭的样本，典型的发展中的婴儿和幼儿（N = 30）。这些记录是使用基于哈特和里斯利工作的测量框架自动处理的。像哈特和里斯利一样，目前的研究结果表明，个别儿童的家庭语言环境存在巨大差异（即，成人字数），儿童的发声，和会话轮流。自动化处理与最初的哈特和里斯利基于转录的估计相比是有利的。除了哈特和里斯利的发现之外，他们还对日常谈话的模式以及与广泛使用的结果测量的关系进行了新的描述。研究和实践的影响进行了讨论。
The purpose of this research was to replicate and extend some of the findings of Hart and Risley using automatic speech processing instead of human transcription of language samples. The long-term goal of this work is to make the current approach to speech processing possible by researchers and clinicians working on a daily basis with families and young children. Twelve hour-long, digital audio recordings were obtained repeatedly in the homes of middle to upper SES families for a sample of typically developing infants and toddlers (N = 30). These recordings were processed automatically using a measurement framework based on the work of Hart and Risley. Like Hart and Risley, the current findings indicated vast differences in individual children's home language environments (i.e., adult word count), children's vocalizations, and conversational turns. Automated processing compared favorably to the original Hart and Risley estimates that were based on transcription. Adding to Hart and Risley's findings were new descriptions of patterns of daily talk and relationships to widely used outcome measures, among others. Implications for research and practice are discussed.