@inproceedings{9aa200bad41a405aa120c8bd33993102,
title = "Microphone array signal processing for robot audition",
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.",
keywords = "Ego-noise suppression, Humanoid robots, Microphone array processing, Robot audition, Source tracking",
author = "L{\"o}llmann, {Heinrich W.} and Alastairh Moore and Naylor, {Patrick A.} and Boaz Rafaely and Radu Horaud and Alexandre Mazel and Walter Kellermann",
note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 2017 Hands-Free Speech Communications and Microphone Arrays, HSCMA 2017 ; Conference date: 01-03-2017 Through 03-03-2017",
year = "2017",
month = apr,
day = "10",
doi = "10.1109/HSCMA.2017.7895560",
language = "English",
series = "2017 Hands-Free Speech Communications and Microphone Arrays, HSCMA 2017 - Proceedings",
publisher = "Institute of Electrical and Electronics Engineers",
pages = "51--55",
booktitle = "2017 Hands-Free Speech Communications and Microphone Arrays, HSCMA 2017 - Proceedings",
address = "United States",
}