Microphone Array Signal Processing for Robot Audition
Löllmann H, Moore AH, Naylor PA, Rafaely B, Horaud R, Mazel A, Kellermann W (2017)
Publication Language: English
Publication Type: Conference contribution, Conference Contribution
Publication year: 2017
Pages Range: 51-55
Event location: San Francisco
ISBN: 978-1-5090-5925-6
DOI: 10.1109/HSCMA.2017.7895560
Abstract
Robot audition for humanoid robots interacting naturally with humans in an unconstrained real-world environment is a hitherto unsolved challenge. The recorded microphone signals are usually distorted by background and interfering noise sources (speakers) as well as room reverberation. In addition, the movements of a robot and its actuators cause ego-noise which degrades the recorded signals significantly. The movement of the robot body and its head also complicates the detection and tracking of the desired, possibly moving, sound sources of interest. This paper presents an overview of the concepts in microphone array processing for robot audition and
some recent achievements.
Authors with CRIS profile
Heinrich Löllmann
Professur für Signalverarbeitung
Walter Kellermann
Professur für Signalverarbeitung
How to cite
APA:
Löllmann, H., Moore, A.H., Naylor, P.A., Rafaely, B., Horaud, R., Mazel, A., & Kellermann, W. (2017). Microphone Array Signal Processing for Robot Audition. In Proceedings of the Joint Workshop on Hands-free Speech Communication and Microphone Arrays (HSCMA) (pp. 51-55). San Francisco, US.
MLA:
Löllmann, Heinrich, et al. "Microphone Array Signal Processing for Robot Audition." Proceedings of the Joint Workshop on Hands-free Speech Communication and Microphone Arrays (HSCMA), San Francisco 2017. 51-55.
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