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Identification of Quality Attributes of Spatial Audio by Repertory Grid Technique

机译:储集网格技术在空间音频质量属性识别中的应用

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The evaluation of the perceived spatial quality of an audio system has become more important as the technical possibilities to render spatial information increase. In recent years the field of spatial quality evaluation has been the subject of more thorough investigations than previously, one of the problems being the development of attribute scales appropriate for this purpose. The generation of attributes of spatial audio by means of elements from the repertory grid technique is investigated. In an experiment personal constructs in the form of verbal descriptors were elicited. The constructs were classified by verbal protocol analysis and reduced to a limited number of attributes by cluster analysis. The results show that the repertory grid technique enables a number of attributes of spatial sound quality to be extracted from a group of subjects and that these attributes correspond well with attributes found in other studies. The results also indicate the importance of a definition of the part—the whole or a subset—of the auditory scene to which a specific attribute is referring.
机译:随着呈现空间信息的技术可能性的增加,对音频系统的感知空间质量的评估变得越来越重要。近年来,空间质量评估领域已成为比以前更彻底的研究主题,问题之一是开发适合于此目的的属性量表。研究了利用保留网格技术中的元素来生成空间音频的属性。在一个实验中,以言语描述形式表达了个人建构。通过口头协议分析对构建体进行分类,并通过聚类分析将构建体缩减为有限数量的属性。结果表明,库格式技术可以从一组对象中提取许多空间声音质量的属性,并且这些属性与其他研究中发现的属性很好地对应。结果还表明定义特定属性所指的听觉场景的一部分(整个或子集)的重要性。

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