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Filters based on head-related transfer functions (HRTFs) allow a monaural source to be localized in a three-dimensional virtual space. There are three ways to obtain HRTF impulse responses: (a) individually measured on each specific person, which requires extensive effort; (b) generic standardized responses, such as dummy heads, which are often inaccurate; and (c) derived responses based on anthropometric measurements of an individual’s head. This article proposes an approach for decomposing HRTFs that will facilitate the development of systems based on the third method. This method offers the potential to produce high accuracy without the extensive effort.
Author (s): Faller II, Kenneth John; Barreto, Armando; Adjouadi, Malek
Affiliation:
Florida International University, College of Engineering and Computing, Department of Electrical and Computer Engineering, Miami, FL, USA
(See document for exact affiliation information.)
Publication Date:
2010-01-06
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Faller II, Kenneth John; Barreto, Armando; Adjouadi, Malek; 2010; Augmented Hankel Total Least-Squares Decomposition of Head-Related Transfer Functions [PDF]; Florida International University, College of Engineering and Computing, Department of Electrical and Computer Engineering, Miami, FL, USA; Paper ; Available from: https://aes2.org/publications/elibrary-page/?id=15238
Faller II, Kenneth John; Barreto, Armando; Adjouadi, Malek; Augmented Hankel Total Least-Squares Decomposition of Head-Related Transfer Functions [PDF]; Florida International University, College of Engineering and Computing, Department of Electrical and Computer Engineering, Miami, FL, USA; Paper ; 2010 Available: https://aes2.org/publications/elibrary-page/?id=15238
@article{faller2010augmented,
author={faller ii kenneth john and barreto armando and adjouadi malek},
journal={journal of the audio engineering society},
title={augmented hankel total least-squares decomposition of head-related transfer functions},
year={2010},
volume={58},
issue={1/2},
pages={3-21},
month={february},}