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一种根据助听器电声特性预测心理声学性能的多变量策略。

A multivariate strategy for prediction of psychoacoustic performance from electroacoustic characteristics of hearing aids.

作者信息

Smaldino J

出版信息

J Am Aud Soc. 1979 Nov-Dec;5(3):130-7.

PMID:528289
Abstract

Sentence length psychoacoustic material was processed through 16 hearing aids and presented to 220 listeners. Twenty-nine indices of electroacoustic performance were abstracted from a testing program under laboratory conditions. Through a multivariate statistical strategy, psychoacoustic achievement was shown to be positively correlated to and could be predicted by a knowledge of white noise gain, bandwidth below and above 1 kHz, frequency response regularity, and transiet distortion (multiple R = 0.77; F = 2.04; df = 5,10). It was concluded that a multivariate statistical tactic, when used with discretion, can be a useful and powerful tool to predict psychoacoustic performance from a knowledge of hearing aid electroacoustic characteristics.

摘要

句子长度心理声学材料通过16台助听器进行处理,并呈现给220名听众。从实验室条件下的测试程序中提取了29个电声性能指标。通过多元统计策略,心理声学成绩与白噪声增益、1kHz以下和以上带宽、频率响应规律性以及瞬态失真的知识呈正相关,并且可以通过这些知识进行预测(复相关系数R = 0.77;F = 2.04;自由度df = 5,10)。得出的结论是,多元统计策略若谨慎使用,可成为从助听器电声特性知识预测心理声学性能的有用且强大的工具。

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