ChladniSonify is a real-time system using a lightweight CNN with CBAM to classify Chladni patterns from Kirchhoff-Love simulations and map them to sine-wave frequencies with 99.33% accuracy and under 50 ms end-to-end latency.
Application of computer virtual technology in college physics simulation experiment teaching system
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ChladniSonify: A Visual-Acoustic Mapping Method for Chladni Patterns in New Media Art Creation
ChladniSonify is a real-time system using a lightweight CNN with CBAM to classify Chladni patterns from Kirchhoff-Love simulations and map them to sine-wave frequencies with 99.33% accuracy and under 50 ms end-to-end latency.