Effects of Sensorineural Hearing Loss on Robust Speech Coding

感音神经性听力损失对鲁棒语音编码的影响

基本信息

批准号：
10745210
负责人：
Michael G Heinz
金额：
$ 63.99万
依托单位：
PURDUE UNIVERSITY
依托单位国家：
美国
项目类别：
财政年份：
2009
资助国家：
美国
起止时间：
2009-07-18 至 2028-06-30
项目状态：
未结题

来源：
https://reporter.nih.gov/project-details/10745210
关键词：
Acoustic Nerve Affect Age Anatomy Animals Audiology Auditory Categories Chinchilla (genus)Clinical Clinical Trials Clinical stratification Cochlea Code Communication Complex Counseling Cues Data Data Science Diagnostic Experimental Designs Face Family Fiber Functional disorder Future Health Health Care Costs Hearing Hearing Aids Human Individual Individual Differences Joints Knowledge Link Measures Mental Health Modeling Nerve Fibers Neurosciences Noise Outer Hair Cells Perception Performance Peripheral Persons Physiological Psychometrics Psychophysics Publishing Quality of life Sensorineural Hearing Loss Sensory Signal Transduction Source Speech Speech Perception Stimulus Synapses Technology Testing Translations Work accurate diagnosis causal model clinical candidate clinical database clinical practice cochlear synaptopathy cost experience hearing impairment human data individual patient individualized medicine neural noise perception noninvasive diagnosis novel open data pre-clinical recruit response segregation social sound speech in noise speech recognition synergism

项目摘要

Project Summary Despite recent technological advances, people still suffer from communication difficulties that impact their professional, social, and family lives, as well as their mental health. People with sensorineural hearing loss (SNHL) struggle with understanding speech, particularly in noisy situations. In fact, people with similar degrees of clinically defined hearing loss can have a wide range of speech-recognition abilities, likely due to differences in underlying suprathreshold deficits that are hidden from current audiological assessment. Although a listener’s sensitivity to simultaneously spectrally and temporally modulated (STM) sounds is known to be predictive of speech-in-noise performance in individual listeners, the underlying mechanisms of this predictive power remain a topic of active debate. Physiological evidence from our lab and others demonstrate that several forms of SNHL (e.g., OHC and/or IHC dysfunction) affect within and across-channel modulation coding of signals in different ways. For example, distorted tonotopy due to OHC dysfunction can affect the perceptually relevant within- channel signal-to-noise ratio in the modulation domain, as well as across-channel temporal coherence of modulations that are useful for source segregation. Despite these clear and varied implications for modulation coding of signals, these effects are surprisingly understudied with respect to signal-in-noise coding, which is the focus of the proposed work. We use a cross-species experimental design to collect anatomical, single-unit AN-fiber, evoked-response, and diagnostic data from several pre-clinical chinchilla models of SNHL, as well as evoked-response, diagnostic, psychophysical, and speech-in-noise data from human listeners spanning a range of age and hearing status. Aim 1 is to characterize SNHL effects on within-channel modulation masking, where the data collected will test the hypothesis that OHC and IHC dysfunction each degrade the perceptually relevant neural modulation signal-to-noise ratio, but in distinct ways. Aim 2 is to characterize SNHL effects on across-channel temporal coherence cues, where the data collected will test the hypothesis that distorted tonotopy is prevalent in both animals and human listeners and has a perceptually relevant effect on peripheral across-channel temporal coherence. Aim 3 is to characterize SNHL effects on STM sensitivity, where our cross- species data will test the hypothesis that the predictive power of STM stimuli for speech-in-noise perception arises largely from distorted tonotopy and the effects of SNHL on temporal modulation coding, rather than from broadened tonotopic tuning or degraded temporal precision. Data will be harmonized in an open-source data- science framework to facilitate future causal modeling by us and others. Our unique ability to quantitatively synergize cross-species data within a rigorous perceptually relevant framework will allow us to test our general hypothesis that SNHL has several distinct peripheral effects on modulation cues for signals in noise, which contribute to individual differences in speech perception in noise. Long-term, this work will help to personalize audiology by providing knowledge to stratify the clinical SNHL category in a framework of real-world significance.

项目摘要尽管最近的技术进步，人们仍然遭受影响他们的沟通困难专业，社交和家庭生活以及他们的心理健康。感官听力损失的人（SNHL）与理解语音的努力，尤其是在噪音情况下。实际上，具有相似学位的人临床定义的听力损失可能具有广泛的语音识别能力，这可能是由于差异在基础上，上库定义了当前听力学评估所隐藏的。虽然是听众的对简单和暂时调制（STM）声音的敏感性已知是预测的在单个听众中的语音表现，这种预测能力的基本机制仍然存在主题辩论的话题。来自我们实验室和其他实验室的生理证据证明了几种形式的SNHL （例如，OHC和/或IHC功能障碍）在不同的信号内部和跨通道调制编码不同方式。举例在调制域中的信道信噪比，以及跨通道的临时连贯性对源隔离有用的调制。尽管对调制有这些明确而多样的影响信号的编码，这些效果在信号编码方面被惊讶地理解为拟议工作的重点。我们使用跨物种实验设计来收集解剖学单单元来自几种临床前龙猫模型的AN纤维，诱发的响应和诊断数据，以及来自人类听众的诱发响应，诊断，心理物理和语音数据跨越范围年龄和听力状态。目的1是表征SNHL对通道内调制掩模的影响，收集的数据将检验以下假设：OHC和IHC功能障碍每个降解感知相关的中性调制信噪比，但以不同的方式。 AIM 2是表征SNHL对跨渠道临时相干提示，其中收集的数据将检验扭曲的假设在动物和人类的听众中，色调均普遍存在，对外围有感知相关的影响 AIM 3是表征SNHL对STM敏感性的影响，在我们的交叉处物种数据将检验以下假设，即STM刺激对语音中的知觉的预测能力很大程度上来自扭曲的TONOTOPY和SNHL对临时调制编码的影响，而不是来自宽扩大的调整调节或降解的临时精度。数据将在开源数据中进行协调科学框架促进我们和其他人的未来因果建模。我们定量的独特能力在严格的感知相关框架内协同跨物种数据将使我们能够测试我们的一般假设SNHL对噪声中信号的调制线索具有几种不同的外围影响，有助于噪声中语音感知的个体差异。长期，这项工作将有助于个性化听力学通过提供知识来在现实世界中具有重要意义的框架中对临床SNHL类别进行分层。

项目成果

期刊论文数量（32）

专著数量（0）

科研奖励数量（0）

会议论文数量（0）

专利数量（0）

Auditory brainstem responses predict auditory nerve fiber thresholds and frequency selectivity in hearing impaired chinchillas.

DOI：
10.1016/j.heares.2011.06.002
发表时间：
2011-10
期刊：
HEARING RESEARCH
影响因子：
2.8
作者：
Henry, Kenneth S.;Kale, Sushrut;Scheidt, Ryan E.;Heinz, Michael G.
通讯作者：
Heinz, Michael G.

Underlying neural mechanisms of degraded speech intelligibility following noise-induced hearing loss: The importance of distorted tonotopy.

噪声引起的听力损失后语音清晰度下降的潜在神经机制：失真音调的重要性。

DOI：
10.1016/j.heares.2022.108586
发表时间：
2022
期刊：
Hearing research
影响因子：
2.8
作者：
Parida,Satyabrata;Heinz,MichaelG
通讯作者：
Heinz,MichaelG

Psychophysiological analyses demonstrate the importance of neural envelope coding for speech perception in noise.

DOI：
10.1523/jneurosci.4493-11.2012
发表时间：
2012-02-01
期刊：
The Journal of neuroscience : the official journal of the Society for Neuroscience
影响因子：
0
作者：
Swaminathan J;Heinz MG
通讯作者：
Heinz MG

Effects of noise exposure on young adults with normal audiograms I: Electrophysiology.

DOI：
10.1016/j.heares.2016.10.028
发表时间：
2017-02
期刊：
Hearing research
影响因子：
2.8
作者：
Prendergast G;Guest H;Munro KJ;Kluk K;Léger A;Hall DA;Heinz MG;Plack CJ
通讯作者：
Plack CJ

Revisiting Models of Concurrent Vowel Identification: The Critical Case of No Pitch Differences.

重新审视并发元音识别模型：无音高差异的关键案例。

DOI：
10.3813/aaa.919244
发表时间：
2018
期刊：
Acta acustica united with acustica : the journal of the European Acoustics Association (EEIG)
影响因子：
0
作者：
Smith,SamuelS;Chintanpalli,Ananthakrishna;Heinz,MichaelG;Sumner,ChristianJ
通讯作者：
Sumner,ChristianJ