Efficient sound source localization method using region selection

  • Yong Eun Kim*
  • , Dong Hyun Su
  • , Jin Gyun Chung
  • , Xinming Huang
  • , Chul Dong Lee
  • *Corresponding author for this work

Research output: Contribution to conferenceConference paperpeer-review

Abstract

Sound source localization systems in service robot applications estimate the direction of a human voice. Time difference information obtained from a few separate microphones is widely used for the estimation of the sound direction. The cross-correlation function is com puted in order to calculate the time difference between the two signals. Inverse cosine function is used when the position of the maximum correlation value is converted to an angle. Because of the nonlinear characteristic of inverse cosine function, the accuracy of the computed angle is varied depending on the position of the specific sound source. In this paper, we propose an efficient sound source localization method using region selection. By the proposed approach, the region from 0° to 180° is divided into three regions and only one of the three regions is selected such that the selected region corresponds to the linear part of the inverse cosine function. Only the selected region is used for the sound source localization. Thus considerable amount of computation time is saved and the accuracy of the computed angle is improved. By simulations, it is shown that the estimation error by the proposed method is only 31% of that of the conventional approach.

Original languageEnglish
Title of host publicationProceedings - IEEE ISIE 2009, IEEE International Symposium on Industrial Electronics
Pages1029-1034
Number of pages6
DOIs
StatePublished - 2009
EventIEEE International Symposium on Industrial Electronics, IEEE ISIE 2009 - Seoul, Korea, Republic of
Duration: 2009.07.52009.07.8

Publication series

NameIEEE International Symposium on Industrial Electronics

Conference

ConferenceIEEE International Symposium on Industrial Electronics, IEEE ISIE 2009
Country/TerritoryKorea, Republic of
CitySeoul
Period09.07.509.07.8

Quacquarelli Symonds(QS) Subject Topics

  • Computer Science & Information Systems
  • Engineering - Electrical & Electronic
  • Engineering - Petroleum

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