用主成分分析和FDA分析声学质量

M. Nakanishi, Y. Mitsukura, Akira Hara
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引用次数: 4

摘要

在这项研究中,我们提出了一种基于脑电图的声学质量定量评价方法。分析了三种不同声学特性的立体声扬声器系统对被试听音乐时所观察到的脑电图。作为量化的第一步,我们通过主成分分析、方差分析和Fisher判别分析来分析音质差异是否出现在EEG中。结果表明,脑电图第一主成分包含了问卷调查无法获得的声学质量评价信息,具有利用脑电图定量评价声学质量的可能性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
EEG analysis for acoustic quality evaluation using PCA and FDA
In this study, we propose the quantitative evaluation method of acoustic quality by using electroencephalogram (EEG). We analyze the EEG observed when subjects are listening to music by 3 kinds of stereo speaker system with different acoustic property. In this paper, as the first step of quantification, we analyze whether the difference of acoustic quality appear EEG by principal component analysis, analysis of variance and Fisher discriminant analysis. As a result, we confirmed that 1st principal component of EEG contains the imformation of acoustic quality evaluation which we can not obtain from questionnaires, and the possibility that we can use EEG for quantitative evaluation of acoustic quality.
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