Microphone array signal processing for robot audition

Heinrich W. Löllmann, Alastairh Moore, Patrick A. Naylor, Boaz Rafaely, Radu Horaud, Alexandre Mazel, Walter Kellermann

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

13 Scopus citations

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.

Original languageEnglish
Title of host publication2017 Hands-Free Speech Communications and Microphone Arrays, HSCMA 2017 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages51-55
Number of pages5
ISBN (Electronic)9781509059256
DOIs
StatePublished - 10 Apr 2017
Event2017 Hands-Free Speech Communications and Microphone Arrays, HSCMA 2017 - San Francisco, United States
Duration: 1 Mar 20173 Mar 2017

Publication series

Name2017 Hands-Free Speech Communications and Microphone Arrays, HSCMA 2017 - Proceedings

Conference

Conference2017 Hands-Free Speech Communications and Microphone Arrays, HSCMA 2017
Country/TerritoryUnited States
CitySan Francisco
Period1/03/173/03/17

Keywords

  • Ego-noise suppression
  • Humanoid robots
  • Microphone array processing
  • Robot audition
  • Source tracking

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