activity
20192021
most citedDeep Sound Field Reconstruction in Real Rooms: Introducing the ISOBEL Sound Field Dataset

11 citations · 12 across the 3 of their papers we have counts for

collaborators

5 papers

cs.SD202111 cited

Deep Sound Field Reconstruction in Real Rooms: Introducing the ISOBEL Sound Field Dataset

Miklas Strøm Kristoffersen, Martin Bo Møller, Pablo Martínez-Nuevo +1

Knowledge of loudspeaker responses are useful in a number of applications, where a sound system is located inside a room that alters the listening experience depending on position…

eess.SP2020

Extrapolation of Bandlimited Multidimensional Signals from Continuous Measurements

Cornelius Frankenbach, Pablo Martínez-Nuevo, Martin Møller +1

Conventional sampling and interpolation commonly rely on discrete measurements. In this paper, we develop a theoretical framework for extrapolation of signals in higher dimensions…

eess.AS2020

Inferring the location of reflecting surfaces exploiting loudspeaker directivity

Vincenzo Zaccà, Pablo Martinez-Nuevo, Martin Møller +2

Accurate sound field reproduction in rooms is often limited by the lack of knowledge of the room characteristics. Information about the room shape or nearby reflecting boundaries c…

cs.SD2020

Sound field reconstruction in rooms: inpainting meets super-resolution

Francesc Lluís, Pablo Martínez-Nuevo, Martin Bo Møller +1

In this paper, a deep-learning-based method for sound field reconstruction is proposed. It is shown the possibility to reconstruct the magnitude of the sound pressure in the freque…

eess.SP20191 cited

An Image Source Method Framework for Arbitrary Reflecting Boundaries

Pierre Quinton, Pablo Martínez-Nuevo, Martin B. Møller

We propose a theoretical framework for the image source method that generalizes to arbitrary reflecting boundaries, e.g. boundaries that are curved or even with certain openings. F…