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DOE OSTI · 3002365

Heuristic Sonification Methods for Electromagnetic Signals Report

Karnowski, Thomas P. [Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)] (ORCID:0000000203764917)·Rice, Ashley [Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)] (ORCID:0000000175600017)·Albright, Austin [Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)] (ORCID:0000000221294074)·Potok, Tiffany [Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)]·Thompson, Leanne [Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)] (ORCID:0009000644571464)
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Abstract

Sonification algorithms convert information to audible representations. The 2025 Seed Money project “Exploring Electromagnetic Signals through Sonification” seeks to create machine-learning based methods to convert electromagnetic signals to sound for human interpretation. However, as a precursor to ML-based methods, some heuristic methods have been investigated in preparation for the seed project. This report covers some example methods, applied to the “Flaming Moes” dataset of unintended radiative emissions (URE), with some simple metrics to study the device discrimination properties of the sonification as well as the “pleasantness” of the methods.

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BibTeXRIS

Karnowski, Thomas P. [Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)] (ORCID:0000000203764917), Rice, Ashley [Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)] (ORCID:0000000175600017), Albright, Austin [Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)] (ORCID:0000000221294074), Potok, Tiffany [Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)], Thompson, Leanne [Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)] (ORCID:0009000644571464). 2025-06-01. Heuristic Sonification Methods for Electromagnetic Signals Report. https://doi.org/10.2172/3002365

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