activity
20182021
most citedDeep Sound Field Reconstruction in Real Rooms: Introducing the ISOBEL Sound Field Dataset

11 citations · 11 across the 1 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.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.CV2018

Multiview Based 3D Scene Understanding On Partial Point Sets

Ye Zhu, Sven Ewan Shepstone, Pablo Martínez-Nuevo +3

Deep learning within the context of point clouds has gained much research interest in recent years mostly due to the promising results that have been achieved on a number of challe…

eess.SP2018

Delta-Ramp Encoder for Amplitude Sampling and its Interpretation as Time Encoding

Pablo Martínez-Nuevo, Hsin-Yu Lai, Alan V. Oppenheim

The theoretical basis for conventional acquisition of bandlimited signals typically relies on uniform time sampling and assumes infinite-precision amplitude values. In this paper,…

eess.SP2018

Lattice Functions for the Analysis of Analog-to-Digital Conversion

Pablo Martínez-Nuevo, Alan. V. Oppenheim

Analog-to-digital (A/D) converters are the common interface between analog signals and the domain of digital discrete-time signal processing. In essence, this domain simultaneously…