Recently, differentiable multiple-input multiple-output Feedback
Delay Networks (FDNs) have been proposed for modeling target multichannel room impulse responses by optimizing their parameters according to perceptually-driven time-domain descriptors. However, in spatial audio applications, frequency-domain
characteristics and inter-channel differences are crucial for accurately replicating a given soundfield. In this article, targeting the
modeling of the response of higher-order microphone arrays, we
improve on the methodology by optimizing the FDN parameters
using a novel spatially-informed loss function, demonstrating its
superior performance over previous approaches and paving the
way toward the use of differentiable FDNs in spatial audio applications such as soundfield reconstruction and rendering.