Multilevel Auditory Processing of Continuous Speech, from Acoustics to Language
Multilevel Auditory Processing of Continuous Speech, from Acoustics to Language
批准号:
10366999
负责人:
Jonathan Z. Simon
金额:
$61.08万
依托单位国家:
美国
项目类别:
财政年份:
2021
资助国家:
美国
项目状态:
未结题
起止时间:
2021-09-17 至 2026-08-31
关键词:
AcousticsAreaAttentionAuditoryAuditory areaAuditory systemAwarenessBehaviorBrainBrain StemDevelopmentElectroencephalographyFailureFeedbackFinancial compensationFrequenciesGoalsHearing AidsHearing problemIndividualKnowledgeLanguageLinguisticsLinkMagnetoencephalographyMeasuresMethodsMidbrain structureModelingPatient Self-ReportPeriodicityPhysiologicalPrefrontal CortexProcessProxyResearchResolutionRoleSemanticsSeriesSignal TransductionSpecific qualifier valueSpeechSpeech AcousticsSpeech IntelligibilityStimulusTestingThalamic structureTimeauditory pathwayauditory processingbaseinnovationlexicalnormal hearingprogramsrelating to nervous systemresponsespeech processingtemporal measurement
中文摘要
项目总结
为了使连续的语言被认为是可理解的,大脑使用了一系列扩展的表示法
沿着听觉通路,强调语音在每个阶段的不同时间特征。来自脑干
到中脑、丘脑和通过多个皮质区域,这些阶段支持快速音调的表征-
相应的周期性、对应于声道/包络调制的较慢的表示,并且最终,
语言和语义表示法。此外,这些表述的力度还没有确定
只以前馈的方式,但也有自上而下的过程,受注意力和倾听努力的调节。
众所周知,语音信号的退化将干扰这些不同的神经表示
方法:有些损失是无法弥补的,但另一些损失可以在以后的阶段得到补偿。知识上的差距
之所以出现,是因为不同的神经阶段以及相应的连续语音表示
很少有人把它作为纵链来研究。一个处理级别的部分故障可能会在
随后的水平,而补偿水平可能与倾听努力的水平相关联。
这个应用程序的具体目标是确定连续语音是如何渐进的
在年轻的正常人中,沿着和超越听觉通路,从中脑到语言区域-
听音的听众。脑电图仪(EEG)和脑磁图仪(MEG)都将被使用
由于其高时间分辨率,同时从皮质下和多个皮质区域进行记录
以及行为和倾听努力的衡量标准。不同语言的言语表现
神经阶段将通过时间锁定神经处理和神经网络的特定测量来量化
连通性。斜视测量将被用来作为听力努力的生理替代,除了自我
报告的努力措施。我们的中心假设是,对疾病进展的扎实理解
连续语音处理的表示,被视为同时具有前馈和反馈的网络
连通性(包括基于任务和与工作相关的连通性变化),将阐明声学和
连续语言最终被认为是可理解的神经条件。
目的1研究一组广泛的连续语音处理的神经测量,同时获得
以及他们能在多大程度上预测清晰度。目标2
调查还在多大程度上纳入了持续倾听努力的措施,与
以上连续语音处理的神经测量,可能会比
仅靠神经测量。目的3研究神经连通性在支持连续性方面的功能作用
语音处理沿着听觉通路和超越听觉通路。
英文摘要
PROJECT SUMMARY
For continuous speech to be perceived as intelligible, the brain employs an extended series of representations
along the auditory pathway, emphasizing different temporal features of speech at each stage. From brainstem
to midbrain, thalamus, and through multiple cortical areas, these stages support representations of fast pitch-
relevant periodicity, slower representations corresponding to vocal-tract/envelope modulations, and ultimately,
linguistic and semantic representations. Furthermore, the strength of these representations is not determined
solely in a feedforward way, but also by top-down processes, modulated by attention and listening effort.
It is well known that degradation of a speech signal will interfere with these neural representations in different
ways: some losses are irreparable, but others can be compensated for at a later stage. A gap in knowledge
arises because the different neural stages, and the corresponding continuous speech representations, are
rarely studied as a longitudinal chain. Partial failure at one processing level might be compensated for at a
subsequent level, and the level of compensation might be associated with the level of listening effort.
The specific objectives of this application are to determine how continuous speech is progressively
represented along and beyond the auditory pathway, from midbrain to language areas, in young normal-
hearing listeners. Both electroencephalography (EEG) and magnetoencephalography (MEG) will be employed
for their high time resolution, simultaneously recording from subcortical and multiple cortical areas
respectively, along with measures of behavior, and listening effort. The speech representations of different
neural stages will be quantified by specified measures of time-locked neural processing and of neural
connectivity. Pupillometry measures will be used as a physiological proxy for listening effort, in addition to self-
reported effort measures. Our central hypothesis is that a grounded understanding of the progression of
representations of continuous speech processing, viewed as a network with both feedforward and feedback
connectivity (and including task-based and effort-linked connectivity changes), will elucidate the acoustic and
neural conditions under which continuous speech is ultimately perceived as intelligible.
Aim 1 investigates a broad set of neural measures of continuous speech processing, simultaneously obtained
along and beyond the auditory pathway, and the extent to which they can predict intelligibility. Aim 2
investigates the extent to which also incorporating measures of sustained listening effort, in concert with the
above neural measures of continuous speech processing, may allow better predictions of intelligibility than the
neural measures alone. Aim 3 investigates the functional role of neural connectivity in supporting continuous
speech processing along the auditory pathway and beyond.
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会议论文
Multilevel Auditory Processing of Continuous Speech, from Acoustics to Language
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批准号:10676319
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项目类别:
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资助金额:$57.04万
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财政年份:2021
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负责人:Jonathan Z. Simon
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依托单位:
Multilevel Auditory Processing of Continuous Speech, from Acoustics to Language
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批准号:10490333
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项目类别:
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资助金额:$57.04万
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财政年份:2021
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Signal Processing and Data Analysis Core
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批准号:10198723
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资助金额:$19.24万
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财政年份:2017
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依托单位:
Speech Perception with High Cognitive Demand
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批准号:10198728
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资助金额:$30.56万
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财政年份:2017
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负责人:Jonathan Z. Simon
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依托单位:
Auditory Scene Analysis and Temporal Cortical Computations
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批准号:9013468
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资助金额:$30.86万
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Auditory Scene Analysis and Temporal Cortical Computations
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批准号:9440408
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资助金额:$31.06万
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财政年份:2015
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负责人:Jonathan Z. Simon
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依托单位:
The Neural Basis of Perceptually-Relevant Auditory Modulations in Humans
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批准号:7563980
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资助金额:$23.89万
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财政年份:2008
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负责人:Jonathan Z. Simon
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依托单位:
The Neural Basis of Perceptually-Relevant Auditory Modulations in Humans
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资助金额:$23.54万
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The Neural Basis of Perceptually-Relevant Auditory Modulations in Humans
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The Neural Basis of Perceptually-Relevant Auditory Modulations in Humans
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The Neural Basis of Perceptually-Relevant Auditory Modulations in Humans
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财政年份:2008
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依托单位:
COINCIDENCE DETECTION MODELS IN AUDITORY BRAINSTEM
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财政年份:2001
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资助金额:$7.4万
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财政年份:2001
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依托单位:
COINCIDENCE DETECTION MODELS IN AUDITORY BRAINSTEM
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资助金额:$7.4万
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财政年份:2001
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