activity
20192022
most citedSound field reconstruction in rooms: inpainting meets super-resolution

88 citations · 100 across the 6 of their papers we have counts for

collaborators

7 papers

eess.AS2022

On the Integration of Acoustics and LiDAR: a Multi-Modal Approach to Acoustic Reflector Estimation

Ellen Riemens, Pablo Martínez-Nuevo, Jorge Martinez +2

Having knowledge on the room acoustic properties, e.g., the location of acoustic reflectors, allows to better reproduce the sound field as intended. Current state-of-the-art method…

eess.SP2022

Increasing loudness in audio signals: a perceptually motivated approach to preserve audio quality

A. Jeannerot, N. de Koeijer, P. Martínez-Nuevo +3

We present a method to maintain the subjective perception of volume of audio signals and, at the same time, reduce their absolute peak value. We focus on achieving this without com…

cs.SD2021★ 11 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★ 88 cited

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…