Multichannel nonnegative matrix factorization for ego-noise suppression

Haubner T, Schmidt A, Kellermann W (2018)

Publication Type: Conference contribution, Conference Contribution

Publication year: 2018

Pages Range: 136-140

Event location: Oldenburg DE

ISBN: 978-3-8007-4767-2

Abstract

A mobile robot generates significant self-induced noise,
e.g., by its joints and moving parts of its body, which is
referred to as ego-noise. Ego-noise is of crucial impor-
tance in robot audition since it massively corrupts the mi-
crophone signals and thus degrades the robot’s capability
to interact intuitively with its acoustic environment. There-
fore, appropriate mechanisms for ego-noise suppression
are required. In this paper, we investigate different multi-
channel Nonnegative Matrix Factorization (MNMF) algo-
rithms with respect to their suitability for ego-noise sup-
pression, propose a modified semi-supervised MNMF ap-
proach and evaluate its performance.

Authors with CRIS profile

Thomas Haubner Professur für Signalverarbeitung Alexander Schmidt Professur für Signalverarbeitung Walter Kellermann Professur für Signalverarbeitung

How to cite

APA:

Haubner, T., Schmidt, A., & Kellermann, W. (2018). Multichannel nonnegative matrix factorization for ego-noise suppression. In Proceedings of the ITG Conference on Speech Communication (pp. 136-140). Oldenburg, DE.

MLA:

Haubner, Thomas, Alexander Schmidt, and Walter Kellermann. "Multichannel nonnegative matrix factorization for ego-noise suppression." Proceedings of the ITG Conference on Speech Communication, Oldenburg 2018. 136-140.

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