2021 IEEE International Conference on Acoustics, Speech and Signal Processing

6-11 June 2021 • Toronto, Ontario, Canada

Extracting Knowledge from Information

2021 IEEE International Conference on Acoustics, Speech and Signal Processing

6-11 June 2021 • Toronto, Ontario, Canada

Extracting Knowledge from Information
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Paper Detail

Paper IDAUD-29.5
Paper Title NETWORK-AWARE OPTIMAL MICROPHONE CHANNEL SELECTION IN WIRELESS ACOUSTIC SENSOR NETWORKS
Authors Michael Günther, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Germany; Haitham Afifi, Paderborn University, Germany; Andreas Brendel, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Germany; Holger Karl, Paderborn University, Germany; Walter Kellermann, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Germany
SessionAUD-29: Acoustic Sensor Array Processing 3: Acoustic Sensor Arrays
LocationGather.Town
Session Time:Friday, 11 June, 11:30 - 12:15
Presentation Time:Friday, 11 June, 11:30 - 12:15
Presentation Poster
Topic Audio and Acoustic Signal Processing: [AUD-ASAP] Acoustic Sensor Array Processing
IEEE Xplore Open Preview  Click here to view in IEEE Xplore
Abstract To address the vital problem of selecting the most useful microphones in wireless acoustic sensor networks, this paper proposes a novel, general-purpose approach that accounts for both acoustic and network aspects. The inter-channel correlation of single-channel signal features, together with tools from spectral graph theory, is used to assess the usefulness of microphone signals from an acoustic perspective. By only transmitting the features that characterize signal frames as opposed to the full signal waveform, the unique constraints of wireless sensor networks are accommodated. The source-to-sink transmission delay, resulting from embedding a distributed, acoustic signal processing application into a wireless network, captures the usefulness from a network perspective. The experiments demonstrate the efficacy of the proposed method for an exemplary multichannel signal processing application.