Speaker
Description
Sound field reconstruction methods have increasingly been employed to estimate acoustic field quantities of complex sound fields across space. These approaches typically describe the observed field as a superposition of basis functions that satisfy the wave equation. Beyond established applications in sound source radiation, material characterisation, and active noise control, their use in sound field reproduction remains limited by physical constraints, particularly those imposed by the spatial aliasing frequency introduced by sensor positioning. In this work, we address this limitation by formulating the wave coefficient estimation task to incorporate perceptually-motivated criteria. Specifically, we exploit the accuracy of physical models for magnitude and phase estimation below the aliasing frequency. At higher frequencies, inspired by the duplex theory, the proposed method focuses on energy estimation, maintaining the directional properties of the field and providing plausible sound field reconstructions, even when large apertures are considered.