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

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Estimation of interaural level difference based on anthropometry and its effect on sound localization.

Kanji Watanabe¹, Kenji Ozawa, Yukio Iwaya

¹Faculty of Engineering, University of Yamanashi, 84-4 Ebinokuchi, Tsuchiya, Yori-Honjo, Akita 0150055 Japan. kwatanabe@akita-pu.ac.jp

The Journal of the Acoustical Society of America

|January 15, 2008

Summary

Estimating interaural level differences (ILDs) using listener anthropometry improves sound localization accuracy with nonindividualized head-related transfer functions (HRTFs). This method enhances virtual auditory display performance without direct HRTF measurements.

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Area of Science:

Acoustics
Psychoacoustics
Signal Processing

Background:

Accurate sound localization is crucial for immersive virtual auditory displays.
Individualized head-related transfer functions (HRTFs) are essential for precise localization but are burdensome to measure.
Interaural level differences (ILDs) are key acoustic cues for sound localization.

Purpose of the Study:

To develop a method for estimating listener-specific ILDs from anthropometric data.
To improve sound localization accuracy using nonindividualized HRTFs by fitting ILDs.
To reduce the need for direct, time-consuming HRTF measurements.

Main Methods:

Multiple regression analysis to correlate ILDs with anthropometric parameters.
Estimation of azimuthal ILD variations across frequency bands based on listener measurements.
Psychoacoustical experiments to evaluate the effectiveness of the proposed ILD estimation method.

Main Results:

A significant relationship was found between ILDs and anthropometric parameters.
The proposed method effectively estimates frequency-dependent ILDs for individual listeners.
Localization accuracy improved when nonindividualized HRTFs were used with listener-fitted ILDs.

Conclusions:

Listener-specific ILD adjustment using anthropometry is an effective method to enhance localization accuracy.
This approach offers a practical alternative to direct HRTF measurement for virtual auditory systems.
The findings contribute to more accessible and accurate personalized audio experiences.