5 papers
RIR-Former: Coordinate-Guided Transformer for Continuous Reconstruction of Room Impulse Responses
Shaoheng Xu, Chunyi Sun, Jihui Zhang +2
Room impulse responses (RIRs) are essential for many acoustic signal processing tasks, yet measuring them densely across space is often impractical. In this work, we propose RIR-Fo…
A Unified SVD-Modal Solution for Sparse Sound Field Reconstruction with Hybrid Spherical-Linear Microphone Arrays
Shunxi Xu, Thushara Abhayapala, Craig T. Jin
We propose a data-driven sparse recovery framework for hybrid spherical linear microphone arrays using singular value decomposition (SVD) of the transfer operator. The SVD yields o…
Point Neuron Learning: A New Physics-Informed Neural Network Architecture
Hanwen Bi, Thushara D. Abhayapala
Machine learning and neural networks have advanced numerous research domains, but challenges such as large training data requirements and inconsistent model performance hinder thei…
Relative Transfer Matrix Estimator using Covariance Subtraction
Wageesha N. Manamperi, Thushara D. Abhayapala
The Relative Transfer Matrix (ReTM), recently introduced as a generalization of the relative transfer function for multiple receivers and sources, shows promising performance when…
Multiple Speaker Separation from Noisy Sources in Reverberant Rooms using Relative Transfer Matrix
Wageesha N. Manamperi, Thushara D. Abhayapala
Separation of simultaneously active multiple speakers is a difficult task in environments with strong reverberation and many background noise sources. This paper uses the relative…