MODELS OF HEARING LOSS

一位年轻的研究人员提出了一项继续进行五年研究的计划 人对言语和复杂声音的知觉研究 并伴有感觉神经性听力损失。感觉神经的一般模型 听力损失的描述是基于听力障碍的 语音提示的可听性和频谱分辨率的缺陷 这些线索(Turner和Henn，1988)。该模型提供了一种 每个语音段的“内频谱表示” 描述声音的可听性和感知强度的主题 光谱线索。此内部表示形式派生自 计算一组听觉过滤器的输出； 这些过滤器的特性是单独确定的 每个受试者。然后使用内部表示法来 预测受试者对语音识别造成的混乱 任务，检验相似性越强的假设 在给定对象的两个内部光谱之间。越是频繁 这两种语音会被那个主题搞混。几个 将使用听觉过滤的措施来改进模型， 以及基于语音感知研究的几种方案， 用来量化语音频谱的“相似性”。的目标是 为听障人士提供的语音处理 假设是在这样的情况下对物理语音信号进行操作 中生成内部表示的方式 定量地提供语音提示的耳朵最像这样 在正常耳朵中产生。几个额外的实验是 建议测试“多方面”的潜在适用性 复杂声音感知的“通道”模型(轮廓分析)；两者 描述了行为和生理实验。

A young investigator proposes a five-year research plan to continue studies in the perception of speech and complex sounds by persons with sensorineural hearing loss. A general model of sensorineural hearing loss is described that is based upon deficits in the audibility of speech cues and deficits in the spectral resolution of those cues (Turner and Henn, 1988). The model provides an "internal spectral representation" of a speech segment for each subject that describes the audibility and perceptual strength of spectral cues. This internal representation is derived by calculating the outputs of a bank of auditory filters; the characteristics of these filters are determined individually for each subject. The internal representations are then used to predict the confusions that subjects make on a speech recognition task, testing the hypothesis that the stronger the resemblance between two internal spectra in a given subject. The more often those two speech sounds will be confused by that subject. Several measures of auditory filtering will be used to refine the model, as well as several schemes, based upon speech perception research, for quantifying the "similarity" of speech spectra. The goal of speech processing for the hearing impaired that follows from such a hypothesis is to operate upon the physical speech signal in such a manner as to produce an internal representation in the ear that quantitatively provides speech cues most like that produced in the normal ear. Several additional experiments are proposed to test the potential applicability of "multi- channel"models of complex sound perception (profile-analysis); both behavioral and physiological experiments are described.