PYI: The Acquisition of Speech

PYI：言语习得

• 批准号: 9158548
• 负责人: Michael Jordan
• 金额: --
• 依托单位: Massachusetts Institute of Technology
• 依托单位国家: 美国
• 项目类别: Continuing grant
• 财政年份: 1991
• 资助国家: 美国
• 起止时间: 1991-08-01 至 1998-01-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9158548&HistoricalAwards=false
• 关键词: PYI; Acquisition; Speech

This Presidential Young Investigator award will enable the investigator to pursue an integrated program of research on the production and perception of speech, including the development of these capacities in children acquiring their native language. The investigator has developed a model of speech production which has become extremely influential in the field. He has identified a number of shortcoming in the model, particularly with respect to questions of the timing of speech. He is now exploring a new family of algorithm which show promise for a better treatment of the timing issues, and which also appear to relate interestingly to phenomena of speech perception. During the ensuing grant period, he will pursue this theoretical development in depth, with particular reference to the problem of modeling inter-work phenomena. The research plans also include further theoretical and empirical work on the problem of speech acquisition. There is a fundamental question of acquisition related to the problem of how it is an infant can learn to perform the complex motor activities of speech based on the acoustic data the child receives as a model. The investigator has developed a hypothesis that speech acquisition is based on the development of an internal model of the vocal tract during babbling, and will be exploring its implications, including implications for the perceptual correlates of coarticulation. The hypothesis makes certain predictions about the order of acquisition of various speech sounds, and another research direction is to test the empirical validity of these predictions.

这项总统青年研究员奖将使 研究人员进行一项综合研究方案， 言语的产生和感知，包括 这些能力在儿童习得母语中的作用。 研究者开发了一种言语产生模型， 在这一领域变得非常有影响力。 他已经确定 模型中的一些缺点，特别是在 演讲的时间问题。 他现在正在探索一种新的 家族的算法，显示出更好的治疗承诺， 时间问题，这似乎也与有趣的是， 言语感知现象的重要性。 在随后的赠款中， 期间，他将深入推进这一理论发展， 特别是关于建模交互工作的问题 现象。 研究计划还包括进一步的理论和实证 研究语音习得的问题。 有一个 获取的基本问题与如何获取的问题有关， 婴儿可以学习进行复杂的运动活动， 基于孩子接收到的声学数据， 模型 研究者提出了一个假设， 收购是基于内部模型的发展， 在咿呀学语的过程中的声道，并将探索其 影响，包括对知觉的影响 协同发音的相关物。 这个假设确定了 关于各种语言习得顺序的预测 声音，另一个研究方向是测试实证 这些预测的有效性。