Robust sound source localization using a Wiener filter

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 cont...

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Bibliographic Details
Main Authors: Hyungi Cho, Jongsuk Choi, Hanseok Ko
Format: Conference Proceeding
Language:English
Subjects:
Cleaning
Microphones
Noise measurement
Robots
Signal to noise ratio
Wiener filters
Online Access:Request full text
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Summary: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.
ISSN:1946-0740
1946-0759
DOI:10.1109/ETFA.2013.6648095