Aids for the Deaf: Models of Speech Intelligibility

聋人辅助工具：言语清晰度模型

• 批准号: 7148717
• 负责人: LOUIS D BRAIDA
• 金额: $ 31.54万
• 依托单位: MASSACHUSETTS INSTITUTE OF TECHNOLOGY
• 依托单位国家: 美国
• 财政年份: 2006
• 资助国家: 美国
• 起止时间: 2006-07-01 至 2011-06-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7148717
• 关键词: clinical research; cochlear implants; hearing; model; noise; speech

DESCRIPTION (provided by applicant): This research is directed toward improved speech reception for users of hearing aids and cochlear implants through a program of research on models of speech intelligibility. The goal is to develop and experimentally evaluate a robust physical metric that predicts intelligibility scores for a variety of alterations of the speech signal for both hearing-impaired (HI) listeners and Cochlear Implant (Cl) users. This metric will be an adaptation of the speech-based Speech Transmission Index (sSTI) that computes a novel metric from the speech signals directly and the characteristics of individual listeners, and deals with a wide class of nonlinear distortions that are not adequately modeled by traditional STI methods. We have 4 aims. The first aim is to measure speech reception in 3 classes of listeners: HI listeners, Cl users, and normal-hearing subjects listening through a channel-vocoder simulation of cochlear-implant sound processing for 4 types of alterations of speech (acoustic degradations arising from noise and reverberation, band-pass filtering, amplitude compression, and noise-reduction algorithms). The second aim is to characterize the relevant basic psychoacoustic abilities of individual HI listeners and Cl users (in terms of basic sensitivity, dynamic range, spectral resolution, and temporal resolution) and their ability to integrate cues across different filtered bands of speech. The third aim is to develop sSTI-based metrics of speech intelligibility and apply them to the stimuli used to test HI and Cl listeners. The metrics will incorporate the individual listener characteristics, both psychoacoustic abilities and facility at integrating cues across frequency. The fourth aim is to evaluate these metrics by comparing metric predictions for a variety of listeners and speech processing conditions to the empirical data we have obtained on measures of speech reception. At the end of this project, we will have a single metric that is applicable to both HI listeners and Cl users (and by extension to normal-hearing listeners as well). This metric will predict the effects of noise, reverberation, filtering, amplitude compression, and noise reduction algorithms on speech intelligibility and will have a number of applications in research and clinical settings.

描述（由申请人提供）：本研究旨在通过对语音清晰度模型的研究计划，改善助听器和人工耳蜗植入物用户的语音接收。我们的目标是开发和实验评估一个强大的物理指标，预测可懂度分数的各种变化的语音信号的听力受损（HI）的听众和植入（Cl）的用户。该度量将是基于语音的语音传输指数（sSTI）的适应，该基于语音的语音传输指数（sSTI）直接从语音信号和个体听众的特性计算新的度量，并处理传统STI方法无法充分建模的广泛的非线性失真。我们有四个目标。第一个目标是测量3类听众的语音接收：HI听众，Cl用户和听力正常的受试者通过耳蜗植入声音处理的通道声码器模拟收听4种类型的语音改变（噪声和混响引起的声学退化，带通滤波，幅度压缩和降噪算法）。第二个目的是表征个人HI听众和Cl用户的相关基本心理声学能力（在基本灵敏度，动态范围，频谱分辨率和时间分辨率方面）和他们的能力，以整合不同的语音过滤带的线索。第三个目标是开发基于sSTI的语音可懂度指标，并将其应用于用于测试HI和Cl听众的刺激。这些指标将结合个人的听众特点，既心理声学能力和设施，在整合跨频率的线索。第四个目的是评估这些指标的度量预测的各种听众和语音处理条件的经验数据，我们已经获得的语音接收的措施进行比较。在这个项目的最后，我们将有一个单一的指标，适用于HI听众和CI用户（并通过扩展到正常听力听众）。该度量将预测噪声、混响、滤波、幅度压缩和降噪算法对语音清晰度的影响，并将在研究和临床环境中具有许多应用。