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）：该项目的长期目标是研究降低频率分辨率对听力受损听众在复杂噪声中的语音感知的作用。该项目的具体目标是在存在时间和频率波动的掩蔽器的情况下，从心理物理学和计算角度评估语音接收，就像自然发生的声音一样。所提出的实验旨在比较听力受损和听力正常的听众在一项任务上的情况，该任务已被证明可以突出掩蔽传播（SM）的效果。通过将交替刺激频带分离到另一只耳朵，从而消除相邻频带中的 SM 影响，正常听力听众的初始数据显示掩蔽释放量约为 5 至 8 dB。目标 1 将测试正常听力和听力受损的听众在存在异步调制噪声的情况下的辅音识别能力。该研究将测试以下主要假设：SM 会减少听力受损听众的瞥见机会，而消除 SM 会提高听力正常听众的表现。目标 2 将在与目标 1 相同的条件下测试辅音识别，测试具有模拟听力损失的正常听力听众。该研究将检验主要假设，即仅降低可听度并不能解释听力受损听众的双耳分听益处，而是降低频率分辨率是消除 SM 的好处的原因。目标 3 将使用修改后的一瞥模型对行为数据进行计算建模。该研究将测试以下假设：频谱分辨率在正常听力和听力受损听众的异步瞥见中发挥着关键作用。通过分析二分法呈现的刺激，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导致听力受损的听众在复杂背景下听懂语音的能力下降的因素，并对听觉假体设计的未来产生影响。当前提案中概述的培训计划为研究设计提供了强有力的指导，特别是在信号处理、数据分析和计算建模方面。