32 citations · 34 across the 11 of their papers we have counts for
11 papers
From General-Purpose Audio Tagging to Spatially Grounded Sound Event Localization and Detection
Stefano Giacomelli, Stefano Damiano, Claudia Rinaldi +2
This report investigates the extension of pretrained General-Purpose Audio Tagging (GP-AT) models toward spatially grounded Sound Event Localization and Detection (SELD). The propo…
Time-domain sound field estimation using kernel ridge regression
Jesper Brunnström, Martin Bo Møller, Jan Østergaard +3
Sound field estimation methods based on kernel ridge regression have proven effective, allowing for strict enforcement of physical properties, in addition to the inclusion of prior…
Improved Topology-Independent Distributed Adaptive Node-Specific Signal Estimation for Wireless Acoustic Sensor Networks
Paul Didier, Toon van Waterschoot, Simon Doclo +2
This paper addresses the challenge of topology-independent (TI) distributed adaptive node-specific signal estimation (DANSE) in wireless acoustic sensor networks (WASNs) where sens…
Deep, data-driven modeling of room acoustics: literature review and research perspectives
Toon van Waterschoot
Our everyday auditory experience is shaped by the acoustics of the indoor environments in which we live. Room acoustics modeling is aimed at establishing mathematical representatio…
The trajectoRIR Database: Room Acoustic Recordings Along a Trajectory of Moving Microphones
Stefano Damiano, Kathleen MacWilliam, Valerio Lorenzoni +2
Data availability is essential in the development of acoustic signal processing algorithms, especially when it comes to data-driven approaches that demand large and diverse trainin…
A Zero-Shot Physics-Informed Dictionary Learning Approach for Sound Field Reconstruction
Stefano Damiano, Federico Miotello, Mirco Pezzoli +4
Sound field reconstruction aims to estimate pressure fields in areas lacking direct measurements. Existing techniques often rely on strong assumptions or face challenges related to…
Reference Microphone Selection for the Weighted Prediction Error Algorithm using the Normalized L-p Norm
Anselm Lohmann, Toon van Waterschoot, Joerg Bitzer +1
Reverberation may severely degrade the quality of speech signals recorded using microphones in a room. For compact microphone arrays, the choice of the reference microphone for mul…
Distributed Adaptive Norm Estimation for Blind System Identification in Wireless Sensor Networks
Matthias Blochberger, Filip Elvander, Randall Ali +4
Distributed signal-processing algorithms in (wireless) sensor networks often aim to decentralize processing tasks to reduce communication cost and computational complexity or avoid…
Quantifying and Computing Covariance Uncertainty
Filip Elvander, Johan Karlsson, Toon van Waterschoot
In this work, we consider the problem of bounding the values of a covariance function corresponding to a continuous-time stationary stochastic process or signal. Specifically, for…
A multi-layered energy consumption model for smart wireless acoustic sensor networks
Gert Dekkers, Fernando Rosas, Steven Lauwereins +6
Smart sensing is expected to become a pervasive technology in smart cities and environments of the near future. These services are improving their capabilities due to integrated de…
DCASE 2018 Challenge - Task 5: Monitoring of domestic activities based on multi-channel acoustics
Gert Dekkers, Lode Vuegen, Toon van Waterschoot +2
The DCASE 2018 Challenge consists of five tasks related to automatic classification and detection of sound events and scenes. This paper presents the setup of Task 5 which includes…