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Spoken Word Recognition Errors in Speech Audiometry: A Measure of Hearing Performance?

机译:语音测听中的口语单词识别错误:听力表现的一种度量?

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This report provides a detailed analysis of incorrect responses from an open-set spoken word-repetition task which is part of a Dutch speech audiometric test battery. Single-consonant confusions were analyzed from 230 normal hearing participants in terms of the probability of choice of a particular response on the basis of acoustic-phonetic, lexical, and frequency variables. The results indicate that consonant confusions are better predicted by lexical knowledge than by acoustic properties of the stimulus word. A detailed analysis of the transmission of phonetic features indicates that “voicing” is best preserved whereas “manner of articulation” yields most perception errors. As consonant confusion matrices are often used to determine the degree and type of a patient’s hearing impairment, to predict a patient’s gain in hearing performance with hearing devices and to optimize the device settings in view of maximum output, the observed findings are highly relevant for the audiological practice. Based on our findings, speech audiometric outcomes provide a combined auditory-linguistic profile of the patient. The use of confusion matrices might therefore not be the method best suited to measure hearing performance. Ideally, they should be complemented by other listening task types that are known to have less linguistic bias, such as phonemic discrimination.
机译:此报告详细分析了开放式口语重复单词任务的不正确响应,该任务是荷兰语音测听测试电池的一部分。根据语音,词汇和频率变量,从230名正常听力参与者中分析了单音混淆,以选择特定反应的可能性。结果表明,词汇知识比辅音词的声学特性更好地预测了辅音混淆。对语音特征的传递进行的详细分析表明,“发声”得到最好的保留,而“发声的方式”会产生大多数感知错误。由于辅音混淆矩阵通常用于确定患者听力障碍的程度和类型,以预测患者使用助听器的听力表现,并根据最大输出来优化设备设置,因此观察到的发现与听力学实践。根据我们的发现,语音测听结果可提供患者的综合听觉语言特征。因此,使用混淆矩阵可能不是最适合于测量听力表现的方法。理想情况下,应辅以其他已知的语言偏向较小的听音任务类型,例如音素辨别法。

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