NDLI: A study on distance estimation in binaural sound localization

Content Provider	IEEE Xplore Digital Library
Author	Rodemann, T.
Copyright Year	2010
Description	Author affiliation: Honda Research Institute Europe, Carl-Legien Strasse 30, 63073 Offenbach, Germany (Rodemann, T.)
Abstract	The position of a sound source is an important information for robotic systems to be extracted from a sound. Of the three spherical coordinates (azimuth, elevation, distance) only the azimuth direction is extracted in most robot audition systems. So far rarely investigated is the issue of estimating the distance between robot and sound source. In this article we describe a study on distance estimation using a binaural robot system in an indoor environment for sounds ranging in distance from 0.5 to 6m. We investigated several proposed audio cues like interaural differences (IID and ITD), sound amplitude, and spectral characteristics. All cues are computed within the framework of audio proto objects. In an extensive experimental setup with more than 10000 sounds we found that both mean signal amplitude and binaural cues can, under certain circumstances, provide a very reliable distance estimation. There was no observable effect of frequency dependent attenuation so that the spectral amplitude cue was only slightly above chance level. We also investigated the loss of precision of azimuth estimation with distance. In contrast to what could be expected, the performance does not severely deteriorate when the system is calibrated for different distances.
Starting Page	425
Ending Page	430
File Size	1263166
Page Count	6
File Format	PDF
ISBN	9781424466740
ISSN	21530866
e-ISBN	9781424466764
DOI	10.1109/IROS.2010.5651455
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-10-18
Publisher Place	Taiwan
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Azimuth Estimation Robots Training Histograms Production Microphones
Content Type	Text
Resource Type	Article

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