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The Organization of Informational Structure in Articulator Movement and Acoustic Duration Patterns (Computer and Information Science)

The Organization of Informational Structure in Articulator Movement and Acoustic Duration Patterns (Computer and Information Science)
咬合架运动和声学持续时间模式中信息结构的组织(计算机和信息科学)
批准号:
8617852
负责人:
Mary Beckman
金额:
$12.33万
依托单位国家:
美国
项目类别:
Continuing grant
财政年份:
1987
资助国家:
美国
项目状态:
已结题
起止时间:
1987-06-01 至 1990-11-30

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中文摘要
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英文摘要
An accurate computational model of the prosodic patterns which organize utterances into coherent units of sound is essential for good-quality machine synthesis and recognition. Such a model will require an understanding of the abstract prosidic categories of intonation, stress, and phrasing, and a description of how they are implemented in pitch and rhythm patterns. This research is aimed at modeling the timing patterns of English as they reflect abstract prosodic categories. First, experiments will be conducted to explore the types of stresses and phases that affect speech timing, and the precise nature of the effects. A particular concern will be to discover a representation for these effects that will make the specification of the underlying prosodic patterns invariant across changes in speech tempo and segmental content. For example, the representation must allow slow and fast productions of machine recognition to be generated from an invariant specification of the stress and phrasing for this noun phase, and it must allow the use of the same specification in generating the prosodically identical noun phrase sublime delegation. The preliminary experiments will examine the timing patterns of the speech articulators involved in speech production as well as the resulting patterns evident in the acoustic signal. The computational model also will generate both articulatory and acoustic timing patterns.
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Doctoral Dissertation Research: Native-Language and Native-Dialect Effects in Learning to Perceive a Difficult Phonetic Contrast in Korean
  • 批准号:
    1024286
  • 项目类别:
    Standard Grant
  • 资助金额:
    $0.97万
  • 财政年份:
    2010
  • 负责人:
    Mary Beckman
  • 依托单位:
DHB/Collaborative Research: Using Machine Learning to Model the Interplay of Production Dynamics and Perception Dynamics in Phonological Acquisition
Doctoral Dissertation Research: The Association and Alignment of French Rises and their Role in Discourse Segmentation
Prosodically Transcribed Data and Transcription Tools for Linguistics Research; June 25-30, 1993; Columbus, Ohio
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