Asynchronous glimpsing of speech in the hearing impaired

听力受损者的异步语音瞥见

• 批准号: 8521090
• 负责人: Erol James Ozmeral
• 金额: $ 1.61万
• 依托单位: UNIV OF NORTH CAROLINA CHAPEL HILL
• 依托单位国家: 美国
• 财政年份: 2012
• 资助国家: 美国
• 起止时间: 2012-08-01 至 2013-12-15
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8521090
• 关键词: Accounting; Adult; Affect; Auditory; Behavioral; Behavioral Model; Cochlear Implants; Complex; Computer Simulation; Cueing for speech; Data; Data Analyses; Ear; Environment; Frequencies; Future; Goals; Health Status; Hearing; Hearing Aids; Individual; Knowledge; Lead; Learning; Masks; Mentorship; Methods; Mission; Modeling; Noise; Outcome; Patients; Pattern; Performance; Peripheral; Phase; Play; Predisposition; Process; Prosthesis Design; Public Health; Relative (related person); Research; Research Design; Resolution; Role; Sensorineural Hearing Loss; Signal Transduction; Simulate; Speech; Speech Perception; Stimulus; Techniques; Technology; Testing; Time; Training Programs; Work; base; computerized data processing; design; hearing impairment; improved; interest; research study; sound; speech processing; speech recognition; stimulus processing; success

DESCRIPTION (provided by applicant): The long-term aim of this project is to investigate the role of reduced frequency resolution on speech perception in complex noise for hearing-impaired listeners. The specific objective of the proposed project is to psychophysically and computationally assess speech reception in the presence of a masker that fluctuates both in time and frequency, like naturally occurring sounds. The proposed experiments are designed to compare hearing-impaired and normal-hearing listeners on a task which has been shown to highlight the effect of spread of masking (SM). By separating alternating stimulus bands to opposite ears, thus removing the effect of SM from neighboring frequency bands, initial data in normal-hearing listeners show release from masking on the order of 5 to 8 dB. Aim 1 will test normal-hearing and hearing-impaired listeners on consonant recognition in the presence of an asynchronously modulated noise. The study will test the primary hypotheses that SM reduces available glimpsing opportunities for hearing-impaired listeners, and that removing SM enhances performance relative to normal-hearing listeners. Aim 2 will test consonant recognition in the same conditions as Aim 1, testing normal-hearing listeners with simulated hearing-losses. The study will test the primary hypothesis that reduced audibility alone cannot explain the dichotic listening benefit in hearing-impaired listeners, but rather that reduced frequency resolution is responsible for the benefit of removing SM. Aim 3 will computationally model the behavioral data using a modified glimpsing model. The study will test the hypotheses that spectral resolution plays a key role in asynchronous glimpsing for both normal-hearing and hearing-impaired listeners; by analyzing dichotically presented stimuli, the model is expected to predict the benefit seen in the behavioral data. Results will contribute to a better understanding of factors responsible for hearing-impaired listeners' reduced ability to follow speech in complex backgrounds, with implications for the future of auditory prosthesis design. The training program outlined in the current proposal provides strong mentorship in research design, especially with regard to signal processing, data analysis, and computational modeling.

描述（由申请人提供）：该项目的长期目的是调查降低的频率分辨率对听力受损的听众复杂噪声中语音感知的作用。拟议项目的具体目的是在掩饰器的存在下在心理物理和计算上评估语音接收，该掩膜在时间和频率上都波动，例如自然发生的声音。所提出的实验旨在将听力受损和正常听众的听众在一项任务上进行比较，该任务已显示出掩盖掩蔽的效果（SM）。通过将交替的刺激带与相对的耳朵分开，从而消除了来自相邻频段的SM的效果，正常听众中的初始数据显示了从屏蔽中释放出5到8 dB的范围。 AIM 1将在存在异步调制的噪声的情况下测试正常听力和听力受损的听众。该研究将测试SM的主要假设，这些假设减少了听力受损的听众的可用机会，并消除SM相对于正常听众的听众增强了性能。 AIM 2将在与AIM 1相同的条件下测试辅音识别，以模拟听力损失测试正常听力的听众。该研究将检验主要假设，即仅降低的听觉性无法解释听力受损的听众中的二分法听力益处，而是频率分辨率降低是导致删除SM的好处。 AIM 3将使用修改后的浏览模型在计算行为数据上对行为数据进行建模。该研究将检验以下假设，即光谱分辨率在异步瞥见正常听力和听力受损的听众方面起着关键作用。通过分析二分法提出的刺激，该模型有望预测行为数据中看到的好处。结果将有助于更好地理解负责听力听众在复杂背景下跟随语音的能力的因素，这对听觉假体设计的未来有影响。当前建议中概述的培训计划为研究设计提供了强有力的指导，尤其是在信号处理，数据分析和计算建模方面。