3 papers
eess.AS2026
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…
eess.AS2026
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…
eess.AS2026
Distributed Multichannel Wiener Filtering for Wireless Acoustic Sensor Networks
Paul Didier, Toon van Waterschoot, Simon Doclo +4
[This work has been submitted to the IEEE for possible publication. Copyright may be transferred without notice, after which this version may no longer be accessible.] In a wireles…