@inproceedings{Löllmann:2017:10.1109/HSCMA.2017.7895560,
author = {Löllmann, HW and Moore, AH and Naylor, PA and Rafaely, B and Horaud, R and Mazel, A and Kellermann, W},
doi = {10.1109/HSCMA.2017.7895560},
pages = {51--55},
publisher = {IEEE},
title = {Microphone array signal processing for robot audition},
url = {http://dx.doi.org/10.1109/HSCMA.2017.7895560},
year = {2017}
}

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TY  - CPAPER
AB  - 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.
AU  - Löllmann,HW
AU  - Moore,AH
AU  - Naylor,PA
AU  - Rafaely,B
AU  - Horaud,R
AU  - Mazel,A
AU  - Kellermann,W
DO  - 10.1109/HSCMA.2017.7895560
EP  - 55
PB  - IEEE
PY  - 2017///
SP  - 51
TI  - Microphone array signal processing for robot audition
UR  - http://dx.doi.org/10.1109/HSCMA.2017.7895560
UR  - http://hdl.handle.net/10044/1/45040
ER  - 

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