Robust sound source localization using a Wiener filter

Hyungi Cho, Jongsuk Choi, Hanseok Ko

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

4 Citations (Scopus)

Abstract

Recently, human-robot interaction, or human-robot communication, has been extended to practical application in real environments. One of the important factors in human-robot interaction is sound source localization. Moreover, communication is more complex in sound-corrupted environments than in controlled environments. In the present study, the a priori SNR Wiener Scalart algorithm for noise reduction is utilized and integrated in a sound source localization system. The system is evaluated in the sound-corrupted context of a vacuum cleaning robot performing cleaning operations.

Original languageEnglish
Title of host publicationProceedings of 2013 IEEE 18th International Conference on Emerging Technologies and Factory Automation, ETFA 2013
DOIs
Publication statusPublished - 2013
Event2013 IEEE 18th International Conference on Emerging Technologies and Factory Automation, ETFA 2013 - Cagliari, Italy
Duration: 2013 Sep 102013 Sep 13

Publication series

NameIEEE International Conference on Emerging Technologies and Factory Automation, ETFA
ISSN (Print)1946-0740
ISSN (Electronic)1946-0759

Other

Other2013 IEEE 18th International Conference on Emerging Technologies and Factory Automation, ETFA 2013
CountryItaly
CityCagliari
Period13/9/1013/9/13

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Control and Systems Engineering
  • Industrial and Manufacturing Engineering
  • Computer Science Applications

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  • Cite this

    Cho, H., Choi, J., & Ko, H. (2013). Robust sound source localization using a Wiener filter. In Proceedings of 2013 IEEE 18th International Conference on Emerging Technologies and Factory Automation, ETFA 2013 [6648095] (IEEE International Conference on Emerging Technologies and Factory Automation, ETFA). https://doi.org/10.1109/ETFA.2013.6648095