AI Meets Sonification: Research Agenda and Technology Demonstration
Author(s)
Hommel, Fabian
Hermann, Thomas
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Abstract
This paper explores the intersection of artificial intelligence (AI) and sonification, proposing a research agenda to foster mutual advancements in both fields. We identify and propose promising avenues for research and novel services, highlighting the opportunities AI offers to enhance sonification practices and vice versa. Despite AI’s transformative impact across various domains, its application in sonification remains limited. We address this gap by presenting a prototypical system for AI-supported Parameter Mapping Sonification (PMSon), positioned on top of the interactive sonification stack of sc3nb, mesonic and sonecules. This demonstrator illustrates how AI can optimize sonification design processes, promoting a more efficient and creative workflow. We showcase selected AI-enhanced sonification design sessions and discuss what technical prerequisites will serve and support the integration of AI in incremental design/interaction loops. By making our system available as open-source software, we aim to encourage further exploration and innovation at the intersection of sonification and AI.
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2025-06
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Text
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Proceedings
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Creative Commons Attribution Non-Commercial 4.0 International (CC BY-NC 4.0)