使用声景的数据驱动声化模型

KatieAnna Wolf, Genna Gliner, R. Fiebrink
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引用次数: 14

摘要

声音化是响应数据的音频渲染,用于不可能、困难或不需要可视化数据表示的情况。设计声音通常需要多个领域的知识,以及对最终用户将如何使用系统的理解。这使得它成为最终用户开发的理想选择,其中用户在设计的创建中发挥作用。我们提出了一个超声模型,该模型利用用户指定的示例和数据来生成从数据到声音的跨域映射。作为一种新颖的贡献,我们利用这些用户选择的例子的声景(声学场景)来定义声化的结构。我们使用可靠的示例演示了我们模型的概念证明,并讨论了我们计划如何在未来建立这项工作。
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A Model for Data-Driven Sonification Using Soundscapes
A sonification is a rendering of audio in response to data, and is used in instances where visual representations of data are impossible, difficult, or unwanted. Designing sonifications often requires knowledge in multiple areas as well as an understanding of how the end users will use the system. This makes it an ideal candidate for end-user development where the user plays a role in the creation of the design. We present a model for sonification that utilizes user-specified examples and data to generate cross-domain mappings from data to sound. As a novel contribution we utilize soundscapes (acoustic scenes) for these user-selected examples to define a structure for the sonification. We demonstrate a proof of concept of our model using sound examples and discuss how we plan to build on this work in the future.
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