AINeutralarXiv – CS AI · 10h ago5/10
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ChladniSonify: A Visual-Acoustic Mapping Method for Chladni Patterns in New Media Art Creation
ChladniSonify presents a real-time system that maps visual Chladni patterns to acoustic frequencies using deep learning and plate theory, achieving 99.33% classification accuracy with sub-50ms latency. The engineering prototype bridges audio-visual art creation by automating the traditionally subjective mapping between vibration patterns and sound, addressing technical barriers in new media art workflows.