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20212026
most citedImplicit neural representation with physics-informed neural networks for the reconstruction of the early part of room impulse responses

25 citations · 46 across the 19 of their papers we have counts for

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cs.SD2026

On the Usefulness of Diffusion-Based Room Impulse Response Interpolation to Microphone Array Processing

Sagi Della Torre, Mirco Pezzoli, Fabio Antonacci +1

Room Impulse Responses estimation is a fundamental problem in spatial audio processing and speech enhancement. In this paper, we build upon our previously introduced diffusion-base…

cs.SD2026

Phase-Retrieval-Based Physics-Informed Neural Networks For Acoustic Magnitude Field Reconstruction

Karl Schrader, Shoichi Koyama, Tomohiko Nakamura +1

We propose a method for estimating the magnitude distribution of an acoustic field from spatially sparse magnitude measurements. Such a method is useful when phase measurements are…