Günther M, Brendel A, Kellermann W (2019)
Publication Language: English
Publication Type: Conference contribution, Conference Contribution
Publication year: 2019
Event location: Aachen
Many microphone array signal processing techniques, e. g., for beamforming or localization, rely on coherent input signals. However, low inter-channel coherence may result from the occlusion of microphones, reverberation, or the presence of undesired signal components, so that the according signals contribute little to the overall algorithmic performance. Thus, ranking the microphone channels by their utility for subsequent coherent signal processing schemes is of considerable interest. Direct estimation of the pair-wise coherence is often straight-forward in compact microphone arrays when all microphones share a common sampling clock, while wireless acoustic sensor networks require a potentially costly time synchronization of the microphone signals. In this case, estimating the channel utility ranking from simpler, single-channel features, e. g., statistical moments of the time-domain signal waveform or of the corresponding magnitude spectrum instead of the signal coherence, facilitates the clustering of useful sensor nodes for a particular task. Thereby, it is possible to determine whether it is worth the effort to synchronize the sensor signals in a sensor network, and thus save computational power and data rate if this is not the case. In this contribution, we investigate the efficacy of different single-channel signal features for determining candidate sets of sensors signals for synchronization in sensor networks.
APA:
Günther, M., Brendel, A., & Kellermann, W. (2019). Single-channel Signal Features for Estimating Microphone Utility for Coherent Signal Processing. In Proceedings of the International Congress on Acoustics (ICA). Aachen.
MLA:
Günther, Michael, Andreas Brendel, and Walter Kellermann. "Single-channel Signal Features for Estimating Microphone Utility for Coherent Signal Processing." Proceedings of the International Congress on Acoustics (ICA), Aachen 2019.
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