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474 IEEE TRANSACTIONS ON SYSTEMS, MAN, AND CYBERNETICS--PART C: APPLICATIONS AND REVIEWS, VOL. 32, NO. 4, NOVEMBER 2002 Self-Localizing Dynamic Microphone Arrays
 

Summary: 474 IEEE TRANSACTIONS ON SYSTEMS, MAN, AND CYBERNETICS--PART C: APPLICATIONS AND REVIEWS, VOL. 32, NO. 4, NOVEMBER 2002
Self-Localizing Dynamic Microphone Arrays
Parham Aarabi, Member, IEEE
Abstract--This paper introduces a mechanism for localizing a
microphone array when the location of sound sources in the en-
vironment is known. Using the recently proposed spatial observ-
ability function (SOF) based microphone array integration tech-
nique, a maximum likelihood estimator for the correct position and
orientation of the array is derived. This is used to localize and track
a microphone array with a known and fixed geometrical structure,
which can be viewed as the inverse sound localization problem.
Simulations using a two-element dynamic microphone array illus-
trate the ability of the proposed technique to correctly localize and
estimate the orientation of the array even in a very reverberant en-
vironment. Using 1 s male speech segments from three speakers in
a 7 m by 6 m by 2.5 m simulated environment, a 30 cm inter-micro-
phone distance, and PHAT Histogram SLF generation, the average
localization error was approximately 3 cm with an average orien-
tation error of 19 . The same simulation configuration but with
4 s speech segments results in an average localization error less

  

Source: Aarabi, Parham - Department of Electrical and Computer Engineering, University of Toronto

 

Collections: Computer Technologies and Information Sciences