Multi Target Acoustic Source Tracking using Track Before Detect

Maurice Fallon, S. Godsill

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract / Description of output

Particle Filter-based Source Localisation algorithms attempt to track the position of a sound source - a person speaking in a room - based on the current data from a distributed microphone array as well as all previous data up to that point. This paper introduces a multi-target methodology for acoustic source tracking. The methodology is based upon the Track Before Detect (TBD) framework. The algorithm also implicitly evaluates the source activity using a variable appended to the state vector. Examples of typical tracking performance are given using a set of real speech recordings with two sources active simultaneously.
Original languageEnglish
Title of host publicationApplications of Signal Processing to Audio and Acoustics, 2007 IEEE Workshop on
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Number of pages4
ISBN (Electronic)978-1-4244-1619-6
ISBN (Print)978-1-4244-1620-2
Publication statusPublished - 1 Oct 2007

Keywords / Materials (for Non-textual outputs)

  • Acoustic applications
  • Acoustic signal detection
  • Acoustic signal processing
  • Conferences
  • Frequency
  • Microphone arrays
  • Particle tracking
  • Signal processing algorithms
  • Speech
  • Target tracking


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