音频样本浏览器的新音色可视化方法的建议和评估
A proposal and evaluation of new timbre visualisation methods for audio sample browsers
摘要：
在庞大的声音样本库中搜索可能是一项艰巨而耗时的任务。现代音频示例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所显示的项。很少有研究关注这些映射如何帮助用户搜索特定的样本。我们提出了新的方法来产生纹理标签和定位样本的基础上感知表示的音色。我们进行了一系列的研究，以评估的好处，使用形状，颜色或纹理作为标签，在一个已知的项目搜索任务。我们描述的动机和实施的研究，并提出了深入的分析结果。我们发现，形状显着提高任务性能，而颜色和纹理的影响不大。我们还比较了面对面和在线参与者之间的结果，并提出了进一步研究的研究方向。
英文摘要：
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.
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