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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
翻译
一个精确的韵律模式计算模型将话语组织成连贯的声音单位,对于高质量的机器合成和识别是必不可少的。这样的模型需要理解抽象的韵律类别,如语调、重音和短语,并描述它们如何在音高和节奏模式中实现。本研究旨在模拟英语的时间模式,因为它们反映了抽象的韵律类别。首先,我们将进行实验来探索影响语音时间的重音和相位的类型,以及这些影响的确切性质。一个特别的关注将是发现这些影响的表征,这将使潜在的韵律模式的规范在言语速度和分词内容的变化中保持不变。例如,表示必须允许从这个名词阶段的重音和短语的不变规范中生成慢速和快速的机器识别结果,并且它必须允许使用相同的规范来生成韵律相同的名词短语崇高委托。初步实验将检查语音产生中语音发音器的定时模式,以及声信号中明显的结果模式。计算模型还将生成发音和声学计时模式。
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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