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助听使用者对噪声中句子的感知可由音节成分感知和语境使用来预测。

Sentence perception in noise by hearing-aid users predicted by syllable-constituent perception and the use of context.

机构信息

Communication Disorders Technology, Incorporated, Bloomington, Indiana 47408, USA.

VA Loma Linda Healthcare System, Loma Linda, California 92357, USA.

出版信息

J Acoust Soc Am. 2020 Jan;147(1):273. doi: 10.1121/10.0000563.

Abstract

Masked sentence perception by hearing-aid users is strongly correlated with three variables: (1) the ability to hear phonetic details as estimated by the identification of syllable constituents in quiet or in noise; (2) the ability to use situational context that is extrinsic to the speech signal; and (3) the ability to use inherent context provided by the speech signal itself. This approach is called "the syllable-constituent, contextual theory of speech perception" and is supported by the performance of 57 hearing-aid users in the identification of 109 syllable constituents presented in a background of 12-talker babble and the identification of words in naturally spoken sentences presented in the same babble. A simple mathematical model, inspired in large part by Boothroyd and Nittrouer [(1988). J. Acoust. Soc. Am. 84, 101-114] and Fletcher [Allen (1996) J. Acoust. Soc. Am. 99, 1825-1834], predicts sentence perception from listeners' abilities to recognize isolated syllable constituents and to benefit from context. When the identification accuracy of syllable constituents is greater than about 55%, individual differences in context utilization play a minor role in determining the sentence scores. As syllable-constituent scores fall below 55%, individual differences in context utilization play an increasingly greater role in determining sentence scores. Implications for hearing-aid design goals and fitting procedures are discussed.

摘要

助听用户的掩蔽句感知与三个变量密切相关

(1) 在安静或噪声环境下识别音节成分的能力,这可以反映出对语音细节的听力;(2) 利用与语音信号无关的情境语境的能力;以及(3) 利用语音信号本身提供的固有语境的能力。这种方法被称为“语音感知的音节成分、语境理论”,它得到了 57 名助听用户的表现的支持,这些用户在识别 109 个音节成分方面表现出色,这些音节成分在 12 人噪声背景下呈现,并且在相同的噪声背景下识别自然语言句子中的单词。一个简单的数学模型,主要受到 Boothroyd 和 Nittrouer [(1988). J. Acoust. Soc. Am. 84, 101-114] 和 Fletcher [Allen (1996) J. Acoust. Soc. Am. 99, 1825-1834] 的启发,从听众识别孤立音节成分的能力和从语境中受益的能力预测句子感知。当音节成分的识别准确率大于约 55%时,个体在语境利用方面的差异在决定句子分数方面的作用较小。当音节成分分数低于 55%时,个体在语境利用方面的差异在决定句子分数方面的作用越来越大。讨论了对助听设计目标和适配程序的影响。

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