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)
批准号:
8617873
负责人:
Jan Edwards
金额:
$8.77万
依托单位:
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:
1987-06-15 至 1990-11-30
中文摘要
韵律模式的准确计算模型将话语组织成连贯的声音单元,对于高质量的机器合成和识别是必不可少的。这样的模式需要理解语调、重音和短语等抽象的散文类别,并描述它们是如何在音高和节奏模式中实现的。这项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,将进行实验,以探索影响语音计时的重音和阶段的类型,以及影响的确切性质。一个特别关注的问题将是发现这些效果的表示,该表示将使潜在韵律模式的规范在语音节奏和分段内容的变化中保持不变。例如,表示必须允许从该名词短语的重音和短语的不变规范中生成机器识别的慢速和快速产生,并且它必须允许在生成韵律上相同的名词短语崇高委托时使用相同的规范。初步实验将检查语音产生中涉及的语音发音装置的时序模式以及在声学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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会议论文
Building an Academic Community of Engineering Scholars to Increase Persistence and Transfer into Four-year Engineering and Computer Science Degree Programs
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批准号:1929983
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项目类别:Standard Grant
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资助金额:$99.68万
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财政年份:2019
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负责人:Jan Edwards
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依托单位:
DHB/Collaborative Research: Using Machine Learning to Model the Interplay of Production Dynamics and Perception Dynamics in Phonological Acquision
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批准号:0729140
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项目类别:Standard Grant
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资助金额:$30.31万
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财政年份:2008
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负责人:Jan Edwards
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依托单位:
海外基金