2 papers
eess.AS2026
Sound Field Interpolation Using Physics-Informed Extreme Learning Machine with Pre-Training
Hayato Komaba, Gen Sato, Ken Kurata +1
Numerous machine learning-based sound field interpolation methods have been proposed. In particular, physics-informed neural networks (PINNs) can accurately interpolate sound field…
eess.AS2025
Spatial Interpolation of Room Impulse Responses based on Deeper Physics-Informed Neural Networks with Residual Connections
Ken Kurata, Gen Sato, Izumi Tsunokuni +1
The room impulse response (RIR) characterizes sound propagation in a room from a loudspeaker to a microphone under the linear time-invariant assumption. Estimating RIRs from a limi…