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Toon van Waterschoot

14 accepted papers

2025

A Comparative Analysis of Generalised Echo and Interference Cancelling and Extended Multichannel Wiener Filtering for Combined Noise Reduction and Acoustic Echo Cancellation

Arnout Roebben, Toon van Waterschoot, Marc Moonen
ICASSP 2025accepted

Two algorithms for combined acoustic echo cancellation (AEC) and noise reduction (NR) are analysed, namely the generalised echo and interference canceller (GEIC) and the extended multichannel Wiener filter (MWF<inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xl…

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2025

A Zero-Shot Physics-Informed Dictionary Learning Approach for Sound Field Reconstruction

Stefano Damiano, Federico Miotello, Mirco Pezzoli, Alberto Bernardini, Fabio Antonacci, Augusto Sarti +1
ICASSP 2025accepted

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 data availability or the explicit modeling of physical properties. To bridge these gaps, this study introduces a zero-s…

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2024

Can Synthetic Data Boost the Training of Deep Acoustic Vehicle Counting Networks?

Stefano Damiano, Luca Bondi, Shabnam Ghaffarzadegan, Andre Guntoro, Toon van Waterschoot
ICASSP 2024accepted

In the design of traffic monitoring solutions for optimizing the urban mobility infrastructure, acoustic vehicle counting models have received attention due to their cost effectiveness and energy efficiency. Although deep learning has proven effective for visual traffic monitoring, its use has not b…

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2024

Microphone Subset Selection for the Weighted Prediction Error Algorithm Using a Group Sparsity Penalty

Anselm Lohmann, Toon van Waterschoot, Jörg Bitzer, Simon Doclo
ICASSP 2024accepted

Reverberation can severely degrade the quality of speech signals recorded using microphones in an enclosure. In acoustic sensor networks with spatially distributed microphones, a similar dereverberation performance may be achieved using only a subset of all available microphones. Using the popular c…

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2023

Centralized Cascade Multi-Channel Noise Reduction and Acoustic Feedback Cancellation in a Wireless Acoustic Sensor And Actuator Network

Santiago Ruiz, Toon van Waterschoot, Marc Moonen
ICASSP 2023accepted

This paper presents a centralized cascade multi-channel noise reduction (NR) and acoustic feedback cancellation (AFC) algorithm for speech applications in a wireless acoustic sensor and actuator network (WASAN). The algorithm consists of a multi-channel Wiener filter (MWF) based NR stage, where M mi…

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2023

Dereverberation in Acoustic Sensor Networks Using weighted Prediction Error with Microphone-Dependent Prediction Delays

Anselm Lohmann, Toon van Waterschoot, Jörg Bitzer, Simon Doclo
ICASSP 2023accepted

In the last decades several multi-microphone speech dereverberation algorithms have been proposed, among which the weighted prediction error (WPE) algorithm. In the WPE algorithm, a prediction delay is required to reduce the correlation between the prediction signals and the direct component in the…

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2023

Distributed Adaptive Norm Estimation for Blind System Identification in Wireless Sensor Networks

Matthias Blochberger, Filip Elvander, Randall Ali, Jan Østergaard, Jesper Jensen, Marc Moonen +1
ICASSP 2023accepted

Distributed signal-processing algorithms in (wireless) sensor networks often aim to decentralize processing tasks to reduce communication cost and computational complexity or avoid reliance on a single device (i.e., fusion center) for processing. In this contribution, we extend a distributed adaptiv…

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2023

Simultaneous Acoustic Echo Sorting and 3-D Room Geometry Inference

Kathleen MacWilliam, Filip Elvander, Toon van Waterschoot
ICASSP 2023accepted

Room geometry estimation from multiple acoustic room impulse responses (RIRs) relies on being able to correctly identify first-order echoes corresponding to the same reflector. This can be done by exploiting the properties of various mathematical concepts but often results in needing to solve large…

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2022

Cascade Multi-Channel Noise Reduction and Acoustic Feedback Cancellation

Santiago Ruiz, Toon van Waterschoot, Marc Moonen
ICASSP 2022accepted

Acoustic feedback and noise are common problems that corrupt microphone signals and affect the performance of speech and audio signal processing applications and devices. In this paper, a cascade noise reduction (NR) and acoustic feedback cancellation (AFC) algorithm is presented for speech applicat…

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2018

Generalised Sidelobe Canceller for Noise Reduction in Hearing Devices Using an External Microphone

Randall Ali, Toon van Waterschoot, Marc Moonen
ICASSP 2018accepted

The use of an external microphone in conjunction with an existing local microphone array can be particularly beneficial for noise reduction tasks that are critical for hearing devices, such as cochlear implants and hearing aids. Recent work has already demonstrated how an external microphone signal…

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2018

Joint Source Localization and Dereverberation by Sound Field Interpolation Using Sparse Regularization

Niccolò Antonello, Enzo De Sena, Marc Moonen, Patrick A. Naylor, Toon van Waterschoot
ICASSP 2018accepted

In this paper, source localization and dereverberation are formulated jointly as an inverse problem. The inverse problem consists in the interpolation of the sound field measured by a set of microphones by matching the recorded sound pressure with that of a particular acoustic model. This model is b…

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2016

Multichannel identification of room acoustic systems with adaptive filters based on orthonormal basis functions

Giacomo Vairetti, Søren Holdt Jensen, Enzo De Sena, Marc Moonen, Michael Catrysse, Toon van Waterschoot
ICASSP 2016accepted

Many acoustic signal enhancement applications require adaptive filters with a long impulse response, but with a small number of filter parameters. Fixed-poles infinite impulse response (IIR) adaptive filters based on orthonormal basis functions (OBFs) present advantages over finite impulse response…

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2015

Multi-channel linear prediction-based speech dereverberation with low-rank power spectrogram approximation

Ante Jukic, Nasser Mohammadiha, Toon van Waterschoot, Timo Gerkmann, Simon Doclo
ICASSP 2015accepted

In many acoustic conditions the recorded speech signals may be severely affected by reverberation, leading to a reduced speech quality and intelligibility. In this paper we focus on a blind speech dereverberation method based on multi-channel linear prediction (MCLP) in the short-time Fourier transf…

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