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An Automated System for Sound Localization Testing in Hearing-Impaired Listeners

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Front-back confusion resolution in three-dimensional sound localization using databases built with a dummy head.

Alexander Ovcharenko¹, Sang Jin Cho, Ui-Pil Chong

¹School of Computer Engineering and Information Technology, University of Ulsan, San 29, Moogeodong, Namku, Ulsan, South Korea.

The Journal of the Acoustical Society of America

|July 7, 2007

Summary

This study presents an algorithm for sound localization using dummy head microphones. It resolves front-back confusion by comparing basic and random signals, analyzing interaural time differences and spectrums.

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Area of Science:

Acoustics
Signal Processing
Auditory Perception

Background:

Sound localization is crucial for separating acoustic information from multiple sources in daily life.
Dummy head microphones are used to record sound signals, which are modeled as random signals in an imaginary room.

Purpose of the Study:

To develop an algorithm for localizing sound sources using recorded signals from dummy head microphones.
To address the challenge of front-back confusion in sound localization.

Main Methods:

The algorithm identifies similarities between basic and random sound signals.
It employs interaural time difference comparison and analysis of signal spectrum differences.
Reference signals are utilized to resolve front-back confusion.

Main Results:

The developed algorithm successfully localizes sound sources.
The method effectively distinguishes between different sound source positions.
Front-back confusion in sound localization is resolved using reference signals.

Conclusions:

The proposed algorithm provides an effective method for sound source localization.
The technique leverages signal similarity, time differences, and spectral analysis.
The use of reference signals is key to overcoming front-back confusion in auditory perception.