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Fast 360° Sound Source Localization using Signal Energies and Partial Cross Correlation for TDOA Computation

  • Yiwere, Mariam (Department of Computer Engineering, Hanbat National University) ;
  • Rhee, Eun Joo (Department of Computer Engineering, Hanbat National University)
  • Received : 2016.12.03
  • Accepted : 2017.03.17
  • Published : 2017.03.31

Abstract

This paper proposes a simple sound source localization (SSL) method based on signal energies comparison and partial cross correlation for TDOA computation. Many sound source localization methods include multiple TDOA computations in order to eliminate front-back confusion. Multiple TDOA computations however increase the methods' computation times which need to be as minimal as possible for real-time applications. Our aim in this paper is to achieve the same results of localization using fewer computations. Using three microphones, we first compare signal energies to predict which quadrant the sound source is in, and then we use partial cross correlation to estimate the TDOA value before computing the azimuth value. Also, we apply a threshold value to reinforce our prediction method. Our experimental results show that the proposed method has less computation time; spending approximately 30% less time than previous three microphone methods.

Keywords

References

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