42 citations · 99 across the 23 of their papers we have counts for
26 papers
Distributed Multichannel Wiener Filtering for Topology-Unconstrained Wireless Acoustic Sensor Networks
Paul Didier, Pourya Behmandpoor, Henri Gode +4
This paper introduces the topology-independent distributed multichannel Wiener filter (TI-dMWF), a novel algorithm for distributed node-specific signal estimation in wireless acous…
HIDVAS: A Hearing Instrument Dataset in Various Acoustical Scenarios for Algorithm Evaluation and Training
Arnout Roebben, Giuliano Bernardi, Jan Wouters +2
To evaluate the performance of audio signal processing algorithms and to train data-driven algorithms, e.g., as applied in hearing instruments, either simulated or recorded data ca…
On the Use of Dereverberation for Acoustic Feedback Cancellation
Basil Liekens, Arnout Roebben, Toon van Waterschoot +1
In public address systems and hearing aids, the maximally achievable amplification or gain is limited by acoustic feedback. Therefore, in order to be able to apply a higher gain, f…
Identifiability Conditions for Acoustic Feedback Cancellation with the Two-Channel Adaptive Feedback Canceller Algorithm
Arnout Roebben, Toon van Waterschoot, Jan Wouters +1
In audio signal processing applications with a microphone and a loudspeaker within the same acoustic environment, the loudspeaker signals can feed back into the microphone, thereby…
Sound field estimation with moving microphones using kernel ridge regression
Jesper Brunnström, Martin Bo Møller, Jan Østergaard +3
Sound field estimation with moving microphones can increase flexibility, decrease measurement time, and reduce equipment constraints compared to using stationary microphones. In th…
Accelerated Interactive Auralization of Highly Reverberant Spaces using Graphics Hardware
Hannes Rosseel, Toon van Waterschoot
Interactive acoustic auralization allows users to explore virtual acoustic environments in real-time, enabling the acoustic recreation of concert hall or Historical Worship Spaces…
Fast-Converging Distributed Signal Estimation in Topology-Unconstrained Wireless Acoustic Sensor Networks
Paul Didier, Toon van Waterschoot, Simon Doclo +2
This paper focuses on distributed signal estimation in topology-unconstrained wireless acoustic sensor networks (WASNs) where sensor nodes only transmit fused versions of their loc…
Integrated Minimum Mean Squared Error Algorithms for Combined Acoustic Echo Cancellation and Noise Reduction
Arnout Roebben, Toon van Waterschoot, Jan Wouters +1
In many speech recording applications, noise and acoustic echo corrupt the desired speech. Consequently, combined noise reduction (NR) and acoustic echo cancellation (AEC) is requi…
One-Shot Distributed Node-Specific Signal Estimation with Non-Overlapping Latent Subspaces in Acoustic Sensor Networks
Paul Didier, Pourya Behmandpoor, Toon van Waterschoot +1
A one-shot algorithm called iterationless DANSE (iDANSE) is introduced to perform distributed adaptive node-specific signal estimation (DANSE) in a fully connected wireless acousti…
Topology-Independent GEVD-Based Distributed Adaptive Node-Specific Signal Estimation in Ad-Hoc Wireless Acoustic Sensor Networks
Paul Didier, Toon van Waterschoot, Marc Moonen
A low-rank approximation-based version of the topology-independent distributed adaptive node-specific signal estimation (TI-DANSE) algorithm is introduced, using a generalized eige…
Cascaded noise reduction and acoustic echo cancellation based on an extended noise reduction
Arnout Roebben, Toon van Waterschoot, Marc Moonen
In many speech recording applications, the recorded desired speech is corrupted by both noise and acoustic echo, such that combined noise reduction (NR) and acoustic echo cancellat…
Steered Response Power for Sound Source Localization: A Tutorial Review
Eric Grinstein, Elisa Tengan, Bilgesu Çakmak +5
In the last three decades, the Steered Response Power (SRP) method has been widely used for the task of Sound Source Localization (SSL), due to its satisfactory localization perfor…
The Neural-SRP method for positional sound source localization
Eric Grinstein, Toon van Waterschoot, Mike Brookes +1
Steered Response Power (SRP) is a widely used method for the task of sound source localization using microphone arrays, showing satisfactory localization performance on many practi…
Can Synthetic Data Boost the Training of Deep Acoustic Vehicle Counting Networks?
Stefano Damiano, Luca Bondi, Shabnam Ghaffarzadegan +2
In the design of traffic monitoring solutions for optimizing the urban mobility infrastructure, acoustic vehicle counting models have received attention due to their cost effective…
Microphone Subset Selection for the Weighted Prediction Error Algorithm using a Group Sparsity Penalty
Anselm Lohmann, Toon van Waterschoot, Joerg Bitzer +1
Reverberation can severely degrade the quality of speech signals recorded using microphones in an enclosure. In acoustic sensor networks with spatially distributed microphones, a s…
End-to-end transfer learning for speaker-independent cross-language and cross-corpus speech emotion recognition
Duowei Tang, Peter Kuppens, Lucca Geurts +1
Data-driven models achieve successful results in Speech Emotion Recognition (SER). However, these models, which are often based on general acoustic features or end-to-end approache…
Scalable-Complexity Steered Response Power Mapping based on Low-Rank and Sparse Interpolation
Thomas Dietzen, Enzo De Sena, Toon van Waterschoot
The steered response power (SRP) is a popular approach to compute a map of the acoustic scene, typically used for acoustic source localization. The SRP map is obtained as the frequ…
MYRiAD: A Multi-Array Room Acoustic Database
Thomas Dietzen, Randall Ali, Maja Taseska +1
In the development of acoustic signal processing algorithms, their evaluation in various acoustic environments is of utmost importance. In order to advance evaluation in realistic…
Speech enhancement using ego-noise references with a microphone array embedded in an unmanned aerial vehicle
Elisa Tengan, Thomas Dietzen, Santiago Ruiz +3
A method is proposed for performing speech enhancement using ego-noise references with a microphone array embedded in an unmanned aerial vehicle (UAV). The ego-noise reference sign…
Sampling Rate Offset Estimation and Compensation for Distributed Adaptive Node-Specific Signal Estimation in Wireless Acoustic Sensor Networks
Paul Didier, Toon van Waterschoot, Simon Doclo +1
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 inte…
Low-Complexity Steered Response Power Mapping based on Nyquist-Shannon Sampling
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 towa…
On the Convergence of the Multipole Expansion Method
Brian Fitzpatrick, Enzo De Sena, Toon van Waterschoot
The multipole expansion method (MEM) is a spatial discretization technique that is widely used in applications that feature scattering of waves from circular cylinders. Moreover, i…
Instantaneous PSD Estimation for Speech Enhancement based on Generalized Principal Components
Thomas Dietzen, Marc Moonen, Toon van Waterschoot
Power spectral density (PSD) estimates of various microphone signal components are essential to many speech enhancement procedures. As speech is highly non-nonstationary, performan…
Integrated sidelobe cancellation and linear prediction Kalman filter for joint multi-microphone speech dereverberation, interfering speech cancellation, and noise reduction
T. Dietzen, S. Doclo, M. Moonen +1
In multi-microphone speech enhancement, reverberation as well as additive noise and/or interfering speech are commonly suppressed by deconvolution and spatial filtering, e.g., usin…