1 code implementation • 17 Jan 2024 • Stefano Damiano, Luca Bondi, Shabnam Ghaffarzadegan, Andre Guntoro, Toon van Waterschoot
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.
no code implementations • 16 Jan 2024 • Anselm Lohmann, Toon van Waterschoot, Joerg Bitzer, Simon Doclo
Reverberation can severely degrade the quality of speech signals recorded using microphones in an enclosure.
no code implementations • 22 Nov 2023 • Duowei Tang, Peter Kuppens, Luc Geurts, Toon van Waterschoot
We use the wav2vec 2. 0 pre-trained model to transform audio time-domain waveforms from different languages, different speakers and different recording conditions into a feature space shared by multiple languages, thereby it reduces the language variabilities in the speech features.
1 code implementation • 14 Jun 2023 • Thomas Dietzen, Enzo De Sena, Toon van Waterschoot
For acoustic source localization, a map of the acoustic scene as obtained by the steered response power (SRP) approach can be employed.
1 code implementation • 1 Mar 2023 • Matthias Blochberger, Filip Elvander, Randall Ali, Jan Østergaard, Jesper Jensen, Marc Moonen, Toon van Waterschoot
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.
1 code implementation • 30 Jan 2023 • Thomas Dietzen, Randall Ali, Maja Taseska, Toon van Waterschoot
In the development of acoustic signal processing algorithms, their evaluation in various acoustic environments is of utmost importance.
no code implementations • 30 Jan 2023 • Jun Yin, Stefano Damiano, Marian Verhelst, Toon van Waterschoot, Andre Guntoro
On the algorithmic side, the I-SPOT Project aims to enable detecting, localizing and tracking environmental audio signals by jointly developing microphone array processing and deep learning techniques that specifically target automotive applications.
no code implementations • 18 Jan 2023 • Anselm Lohmann, Toon van Waterschoot, Joerg Bitzer, Simon Doclo
In the WPE algorithm, a prediction delay is required to reduce the correlation between the prediction signals and the direct component in the reference microphone signal.
no code implementations • 4 Nov 2022 • Elisa Tengan, Thomas Dietzen, Santiago Ruiz, Mansour Alkmim, João Cardenuto, Toon van Waterschoot
A method is proposed for performing speech enhancement using ego-noise references with a microphone array embedded in an unmanned aerial vehicle (UAV).
no code implementations • 4 Nov 2022 • Paul Didier, Toon van Waterschoot, Simon Doclo, Marc Moonen
Sampling rate offsets (SROs) between devices in a heterogeneous wireless acoustic sensor network (WASN) can hinder the ability of distributed adaptive algorithms to perform as intended when they rely on coherent signal processing.
no code implementations • 6 Oct 2021 • 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.
2 code implementations • 17 Dec 2020 • Thomas Dietzen, Enzo De Sena, Toon van Waterschoot
The steered response power (SRP) approach to acoustic source localization computes a map of the acoustic scene from the frequency-weighted output power of a beamformer steered towards a set of candidate locations.
1 code implementation • 17 Dec 2018 • Gert Dekkers, Fernando Rosas, Steven Lauwereins, Sreeraj Rajendran, Sofie Pollin, Bart Vanrumste, Toon van Waterschoot, Marian Verhelst, Peter Karsmakers
This model provides a first step of exploration prior to custom design of a smart wireless acoustic sensor, and also can be used to compare the energy consumption of different protocols.