In-vehicle application of common speech intelligibility metrics

被引：12

作者：

Samardzic N. ^{[1
]}

Novak C. ^{[1
]}

机构：

[1] Department of Mechanical, Automotive and Materials Engineering, University of Windsor, Windsor, ON N9B 3P4

来源：

International Journal of Vehicle Noise and Vibration | 2011年 / 7卷 / 04期

关键词：

Articulation index; In-vehicle communication; Speech intelligibility; Speech intelligibility index; Speech transmission index;

D O I：

10.1504/IJVNV.2011.043193

中图分类号：

O42 [声学];

学科分类号：

070206 ; 082403 ;

摘要：

The purpose of this investigation is to quantify the loss of speech intelligibility related to communication between passengers inside a vehicle at different vehicle operating conditions and road surfaces using common objective speech intelligibility metrics. The goal was to identify the most appropriate metric, if a single one exists, for use in automotive applications. The objective metrics include the articulation index (AI), the speech intelligibility index (SII) and the speech transmission index (STI). The SII method, utilising user-defined, measured, speech signal was found to be the best out of the three metrics for quantifying in-vehicle speech intelligibility. Since the effect of reverberation on the loss of speech intelligibility was negligible, this method resulted in a close correlation with the more measurement-intensive STI method. This potentially provides a reduction in measurement effort while preserving the accuracy of the results. Copyright © 2011 Inderscience Enterprises Ltd.

引用

页码：328 / 346

页数：18

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