1 citations · 1 across the 6 of their papers we have counts for
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Towards Physics-Informed Neural Networks for Stiff Guitar String Vibrations
Xinmeng Luan, Kensuke Okada, Ryoya Tabata +1
Modeling stiff string vibrations is challenging due to their dispersive and high-frequency characteristics. This study investigates the effectiveness of Physics-Informed Neural Net…
Inverse Problems in Musical Instrument Modeling: A Structured Taxonomy and Review
Xinmeng Luan, Gary Scavone
Inverse problems arise in a wide range of applications in musical acoustics, including physics-based sound synthesis, musical instrument modeling, design, and optimization. However…
Physics-Informed Neural Operator for Speech Production Analysis
Kazuya Yokota, Xinmeng Luan, Debasish Ray Mohapatra +2
Physics-informed neural operators (PINOs) have recently gained attention as fast numerical simulators with potential for solving inverse problems. This study proposes the first PIN…
Masked Wavelet Scattering Transform Neural Field for Sound Field Reconstruction
Xinmeng Luan, Samuel A. Verburg, Efren Fernandez-Grande +1
In this paper, we propose a reconstruction framework that leverages the Wavelet Scattering Transform (WST) as a multi-scale feature extractor to impose statistical priors under spa…