42 citations · 99 across the 23 of their papers we have counts for
8 papers · 1 filter
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…