Data sonification and sound visualization
Hans G. Kaper,(1) Sever Tipei,(2), Elizabeth Wiebel (1) ((1), Argonne National Laboratory, (2) University of Illinois at Urbana-Champaign)

TL;DR
This paper explores the use of sound and visualization techniques, including digital sound synthesis and virtual reality, to analyze complex scientific data sets, highlighting collaborative efforts and preliminary experimental results.
Contribution
It introduces a combined approach of data sonification and sound visualization using DIASS and M4CAVE for scientific data analysis.
Findings
Preliminary experiments demonstrate effective data exploration through sound.
Sound synthesis techniques can enhance understanding of complex data.
Virtual reality environments facilitate immersive data visualization.
Abstract
This article describes a collaborative project between researchers in the Mathematics and Computer Science Division at Argonne National Laboratory and the Computer Music Project of the University of Illinois at Urbana-Champaign. The project focuses on the use of sound for the exploration and analysis of complex data sets in scientific computing. The article addresses digital sound synthesis in the context of DIASS (Digital Instrument for Additive Sound Synthesis) and sound visualization in a virtual-reality environment by means of M4CAVE. It describes the procedures and preliminary results of some experiments in scientific sonification and sound visualization.
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Taxonomy
TopicsMusic Technology and Sound Studies · Architecture and Computational Design · Tactile and Sensory Interactions
