RI Core: Medium: Structured variability in vocal tract articulation dynamics in speech
RI Core: Medium: Structured variability in vocal tract articulation dynamics in speech
批准号:
2311676
负责人:
Shrikanth Narayanan
金额:
$120.0万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2023
资助国家:
美国
项目状态:
未结题
起止时间:
2023-05-15 至 2027-04-30
中文摘要
人类生产和使用语言来彼此交流和互动,以各种各样的方式传达他们的思想和表达他们的情感。一个人产生丰富的语音涉及到发声器官的复杂运动和协调,如舌头和下巴,以一种灵活和适应互动环境的方式。然而,这种灵活性是如何实现的细节还不完全清楚。言语产生也会受到各种个人环境的影响,包括疾病和紊乱。该项目将通过直接观察和模拟语音过程中的发音,为了解人类语音随时间变化的科学基础,无论是在人际互动中还是在人际互动中--几小时、几天、几周、几个月和几年。这些知识既是发展语音科学的基础,也是设计稳健的交互语音技术的基础。语音研究的一个长期目标是理解和解决语音产生中丰富而普遍的变异性,无论是在个人内部还是跨个体,以及在不同的互动语境中。我们的研究调查了仅通过语音声学无法接近的问题。直接访问声道发音的动态信息,辅之以技术和分析的进步,使我们能够检查与语音产生可变性相关的复杂行为-即其随任务和时间的灵活性和稳定性。该项目将使用先进的实时磁共振成像(RtMRI)和语音产生过程中人类声道运动的计算建模,以了解跨时间尺度的口语交流的结构和控制,无论是在个人体验中还是跨人际互动,这将提供一个前所未有的机会来观察人类如何在以前不可能的时空细节上相互协作地计划和产生语音。该项目的创新包括对在两个地点同时和同步交谈的发言者的声道进行成像,以了解对话期间的言语产生行为,绘制单个人的言语产出如何自然变化,通常是在几小时、几天、几个月和几年的时间,以及个人在言语灵活性方面的差异如何预测发言者的稳定性。该研究计划利用丰富、定量和动态的发音rtMRI数据,通过实证工作将语音科学与工程相结合,并将广泛共享独特的数据、工具和模型。除了语音技术,该项目还具有重要的应用意义,因为标准发音及其变异性的知识可以通过帮助为从自闭症到痴呆症的各种临床情况得出强有力的基于语音的生物标记物来影响语言障碍的评估和治疗。该奖项反映了NSF的法定使命,并通过使用基金会的智力优势和更广泛的影响审查标准进行评估,被认为值得支持。
英文摘要
Humans produce and use speech to communicate and interact with one another, to convey their thoughts and to their express emotions, in a vast variety of ways. The production of the rich sounds of speech by an individual involves intricate movement and coordination of the vocal organs, such as the tongue and jaw, in a manner that is flexible and adaptive to the context of the interaction. Yet, the details of how this flexibility is achieved are not known completely. Speech production can also be affected by a variety of personal circumstances including illness and disorder. The project will create a scientific foundation for understanding how human speech varies across time, both within and across interpersonal interactions––over hours, days, weeks, months and years––by directly observing and modeling articulation during speech. Such knowledge is fundamental to both advancing speech science and to the design of robust interactive speech technologies. A longstanding goal in speech research is to understand and address the rich and pervasive variability in its production, both within and across individuals and for varied interactional contexts. Our research investigates questions not approachable via speech acoustics alone. Direct access to dynamic information on vocal tract articulation, complemented by technology and analysis advances, allow us to examine complex behavior associated with speech production variability—namely, its flexibility and stability over task and over time. The project will use advanced real-time magnetic resonance imaging (rtMRI) and computational modeling of the human vocal tract motion during speech production to understand the structure and control of spoken language communication across timescales, both within individual experience and across interpersonal interactions, offering an unprecedented opportunity to observe how humans plan and produce speech collaboratively with one another at a spatiotemporal detail not possible before. The project innovations include imaging the vocal tracts of conversing speakers simultaneously and synchronously at two sites to understand speech production behavior during a dialog, mapping how a single individual’s production speech production varies naturally and typically over hours, days, months and years, and how individual differences in speech flexibility are predictive of speaker stability. The research program integrates speech science and engineering through empirical work leveraging rich, quantitative, and dynamic articulatory rtMRI data, and will broadly share the unique data, tools and models. The project also has critical applied significance beyond speech technology, as knowledge of normative articulation and its variability can impact the assessment and remediation of speech disorders by helping derive robust speech-based biomarkers for a variety of clinical conditions across the life span from Autism to dementia.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
期刊论文(0)
专著(0)
科研奖励(0)
会议论文
RI: Small: Speaker-Specific Articulatory Strategies
-
批准号:1908865
-
项目类别:Continuing Grant
-
资助金额:$47.4万
-
财政年份:2019
-
负责人:Shrikanth Narayanan
-
依托单位:
RI: Medium: Collaborative Research: Understanding Individual-Level Speech Variability: From Novel Articulatory Data to Robust Speaker Recognition
-
批准号:1514544
-
项目类别:Continuing Grant
-
资助金额:$119.95万
-
财政年份:2015
-
负责人:Shrikanth Narayanan
-
依托单位:
Be a Scientist!
-
批准号:1008372
-
项目类别:Continuing Grant
-
资助金额:$41.89万
-
财政年份:2010
-
负责人:Shrikanth Narayanan
-
依托单位:
Collaborative Research: Computational Behavioral Science: Modeling, Analysis, and Visualization of Social and Communicative Behavior
-
批准号:1029373
-
项目类别:Continuing Grant
-
资助金额:$150.0万
-
财政年份:2010
-
负责人:Shrikanth Narayanan
-
依托单位:
RI: Large: An Integrated Approach to Creating Context Enriched Speech Translation Systems
-
批准号:0911009
-
项目类别:Continuing Grant
-
资助金额:$220.0万
-
财政年份:2009
-
负责人:Shrikanth Narayanan
-
依托单位:
SGER: Exploring Emotional Vocal Productions Through the Use of Real-Time Magnetic Resonance Imaging
-
批准号:0844243
-
项目类别:Standard Grant
-
资助金额:$0.0万
-
财政年份:2008
-
负责人:Shrikanth Narayanan
-
依托单位:
Collaborative Research: Modeling Creative and Emotive Improvisation in Theater Performance
-
批准号:0757414
-
项目类别:Standard Grant
-
资助金额:$42.16万
-
财政年份:2008
-
负责人:Shrikanth Narayanan
-
依托单位:
CAREER: Modeling and Optimizing User-Centric Mixed-Initiative Spoken Dialog Systems
-
批准号:0238514
-
项目类别:Continuing Grant
-
资助金额:$50.0万
-
财政年份:2003
-
负责人:Shrikanth Narayanan
-
依托单位:
IERI: Collaborative Research: Automating Early Assessment of Academic Standards for Very Young Native and Non-Native Speakers of American English
-
批准号:0326228
-
项目类别:Standard Grant
-
资助金额:$0.0万
-
财政年份:2003
-
负责人:Shrikanth Narayanan
-
依托单位:
ITR: A User-centric Content-based Approach to Indexing, Query and Retrieval of Music through Signal Processing and Knowledge-based Methods
-
批准号:0219912
-
项目类别:Continuing Grant
-
资助金额:$50.0万
-
财政年份:2002
-
负责人:Shrikanth Narayanan
-
依托单位:
国内基金
海外基金
登录
查看更多内容
胆固醇羟化酶CH25H非酶活依赖性促进乙型肝炎病毒蛋白Core及Pre-core降解的分子机制研究
-
批准号:82371765
-
项目类别:面上项目
-
资助金额:50万元
-
批准年份:2023
-
负责人:谭广云
-
依托单位:
锕系元素5f-in-core的GTH赝势和基组的开发
-
批准号:22303037
-
项目类别:青年科学基金项目
-
资助金额:30万元
-
批准年份:2023
-
负责人:鲁俊波
-
依托单位:
基于合成致死策略搭建Core-matched前药共组装体克服肿瘤耐药的机制研究
-
批准号:--
-
项目类别:--
-
资助金额:52万元
-
批准年份:2022
-
负责人:孙丙军
-
依托单位:
鼠伤寒沙门氏菌LPS core经由CD209/SphK1促进树突状细胞迁移加重炎症性肠病的机制研究
-
批准号:--
-
项目类别:青年科学基金项目
-
资助金额:30万元
-
批准年份:2022
-
负责人:叶成林
-
依托单位:
基于外泌体精准调控的“核-壳”(core-shell)同步血管化骨组织工程策略的应用与机制探讨
-
批准号:--
-
项目类别:--
-
资助金额:55万元
-
批准年份:2020
-
负责人:张智勇
-
依托单位:
基于外泌体精准调控的“核-壳”(core-shell)同步血管化骨组织工程策略的应用与机制探讨
-
批准号:82072415
-
项目类别:面上项目
-
资助金额:55.0万元
-
批准年份:2020
-
负责人:张智勇
-
依托单位:
肌营养不良蛋白聚糖Core M3型甘露糖肽的精确制备及功能探索
-
批准号:92053110
-
项目类别:重大研究计划
-
资助金额:70.0万元
-
批准年份:2020
-
负责人:彭鹏
-
依托单位:
Core-1-O型聚糖黏蛋白缺陷诱导胃炎发生并介导慢性胃炎向胃癌转化的分子机制研究
-
批准号:81902805
-
项目类别:青年科学基金项目
-
资助金额:20.5万元
-
批准年份:2019
-
负责人:刘菲
-
依托单位:
原始地球增生晚期的Core-merging大碰撞事件:地核增生、核幔平衡与核幔边界结构的新认识
-
批准号:41973063
-
项目类别:面上项目
-
资助金额:65.0万元
-
批准年份:2019
-
负责人:周游
-
依托单位:
CORDEX-CORE区域气候模拟与预估研讨会
-
批准号:41981240365
-
项目类别:国际(地区)合作与交流项目
-
资助金额:1.5万元
-
批准年份:2019
-
负责人:陈威霖
-
依托单位: