Skip to Main content Skip to Navigation
New interface
Conference papers

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.
Complete list of metadata

Cited literature [56 references]  Display  Hide  Download
Contributor : Perception team Connect in order to contact the contributor
Submitted on : Wednesday, March 8, 2017 - 3:48:11 PM
Last modification on : Tuesday, October 25, 2022 - 4:23:48 PM
Long-term archiving on: : Friday, June 9, 2017 - 1:49:15 PM


Files produced by the author(s)



Heinrich Löllmann, Alastair Moore, Patrick Naylor, Boaz Rafaely, Radu Horaud, et al.. Microphone Array Signal Processing for Robot Audition. IEEE Workshop on Hands-free Speech Communication and Microphone Arrays, IEEE Signal Processing Society, Mar 2017, San Francisco, United States. pp.51-55, ⟨10.1109/HSCMA.2017.7895560⟩. ⟨hal-01485322⟩



Record views


Files downloads