Searching through vast libraries of sound samples can be a daunting and time-consuming task. Modern audio sample browsers use mappings between acoustic properties and visual attributes to visually differentiate displayed items. There are few studies focused on how well these mappings help users search for a specific sample. We propose new methods for generating textural labels and positioning samples based on perceptual representations of timbre. We perform a series of studies to evaluate the benefits of using shape, color, or texture as labels in a known-item search task. We describe the motivation and implementation of the study, and present an in-depth analysis of results. We find that shape significantly improves task performance, while color and texture have little effect. We also compare results between in-person and online participants and propose research directions for further studies.

在庞大的声音样本库中进行搜索可能是一项艰巨且耗时的任务。现代音频样本浏览器使用声学属性和视觉属性之间的映射来在视觉上区分显示的项目。很少有研究关注这些映射如何帮助用户搜索特定样本。我们提出了一种新的方法，用于基于音色的感性表示来生成纹理标签和定位样本。我们进行了一系列研究，以评估在已知项目搜索任务中使用形状，颜色或纹理作为标签的好处。我们描述了研究的动机和实施，并对结果进行了深入分析。我们发现形状显着提高了任务性能，而颜色和纹理影响很小。