Bearing-only acoustic tracking of moving speakers for robot audition

Christine Evers, Alastair H. Moore, Patrick A. Naylor, Jonathan Sheaffer, Boaz Rafaely

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

Abstract

This paper focuses on speaker tracking in robot audition for human-robot interaction. Using only acoustic signals, speaker tracking in enclosed spaces is subject to missing detections and spurious clutter measurements due to speech inactivity, reverberation and interference. Furthermore, many acoustic localization approaches estimate speaker direction, hence providing bearing-only measurements without range information. This paper presents a probability hypothesis density (PHD) tracker that augments the bearing-only speaker directions of arrival with a cloud of range hypotheses at speaker initiation and propagates the random variates through time. Furthermore, due to their formulation PHD filters explicitly model, and hence provide robustness against, clutter and missing detections. The approach is verified using experimental results.

Original languageAmerican English
Title of host publication2015 IEEE International Conference on Digital Signal Processing, DSP 2015
Pages1206-1210
Number of pages5
ISBN (Electronic)9781479980581
DOIs
StatePublished - 9 Sep 2015
EventIEEE International Conference on Digital Signal Processing, DSP 2015 - Singapore, Singapore
Duration: 21 Jul 201524 Jul 2015

Publication series

NameInternational Conference on Digital Signal Processing, DSP
Volume2015-September

Conference

ConferenceIEEE International Conference on Digital Signal Processing, DSP 2015
Country/TerritorySingapore
CitySingapore
Period21/07/1524/07/15

Keywords

  • Acoustic signal processing
  • Acoustic tracking
  • Bearing-only tracking
  • Clutter
  • Missing detections
  • Speaker tracking

All Science Journal Classification (ASJC) codes

  • Signal Processing

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