MODELS OF HEARING LOSS

一位年轻的研究人员提出了一个五年的研究计划， 研究人对语言和复杂声音的感知 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缺陷， 语音线索的可听度和频谱分辨率的缺陷 （Turner and Henn，1988）。 该模型提供了一个 每个语音段的“内部频谱表示” 描述听觉和感知强度的主题 光谱线索 该内部表示由下式导出： 计算一组听觉滤波器的输出; 这些滤波器的特性是单独确定的， 每个主题。 然后，内部表示用于 预测受试者在语音识别中的混淆 任务，测试假设，越强的相似性 两个内部光谱之间的差异越频繁 这两个语音会被这个主题混淆。 几 听觉滤波的测量将被用于改进模型， 以及基于语音感知研究的几种方案， 用于量化语音频谱的“相似性”。 的目标 听力受损者的语音处理， 一种假设是在这种情况下对物理语音信号进行操作 一种方式，以产生一个内部表示， 定量提供语音提示的耳朵 在正常的耳朵中产生。 几个额外的实验是 建议测试“多- 复杂声音感知的“通道“模型（轮廓分析）; 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.