从助听器电声特性预测心理声学性能的多元策略。

J Smaldino
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引用次数: 0

摘要

句子长度的心理声学材料通过16个助听器进行处理,并提供给220名听众。从实验室条件下的测试程序中提取了29项电声性能指标。通过多元统计策略,心理声学成就与白噪声增益、低于和高于1 kHz的带宽、频率响应规律和瞬变失真呈正相关,并且可以通过这些知识来预测(多重R = 0.77;F = 2.04;Df = 5,10)。结论是,多元统计策略,当谨慎使用时,可以从助听器电声特性的知识中预测心理声学性能的有用和强大的工具。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A multivariate strategy for prediction of psychoacoustic performance from electroacoustic characteristics of hearing aids.

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.

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