Multiple source tracking by sequential posterior kernel density estimation through GSCT | IEEE Conference Publication | IEEE Xplore

Multiple source tracking by sequential posterior kernel density estimation through GSCT


Abstract:

This paper introduces a novel framework for tracking the TDOAs of multiple sources whose acoustic activities overlap in time. Assuming the number of sources to be known, ...Show More

Abstract:

This paper introduces a novel framework for tracking the TDOAs of multiple sources whose acoustic activities overlap in time. Assuming the number of sources to be known, multiple disjoint particle filters estimate the posterior kernel density of the propagation parameters. An approximated instantaneous kernel density is provided through the Generalized State Coherence Transform, which improves the source interference rejection across the dimensions using a frequency-normalized non-linearity. Results obtained from an experimental evaluation on synthetic data show that the proposed framework enables localization and tracking of bidimensional TDOAs for 7 competitive sources recorded under reverberant conditions and with only 3 microphones.
Date of Conference: 29 August 2011 - 02 September 2011
Date Added to IEEE Xplore: 02 April 2015
Print ISSN: 2076-1465
Conference Location: Barcelona, Spain

References

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