By Topic

Genetic algorithm approach to head-related transfer functions modeling in 3-D sound system

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Ngai-Man Cheung ; Texas Instrum. Tsukuba R&D Center, Japan ; Trautman, S.

Head-related transfer functions, or HRTFs, refer to the spectral filtering from sound sources to listeners' eardrums. It is an important cue to spatial hearing. Since HRTFs vary as a function of relative source locations and subjects, practical implementation of 3D audio always races a large set of HRTFs for different azimuths and elevations (even if non-individualized HRTFs are used). Previous works have proposed several models to represent the HRTFs in order to achieve data reduction. In this paper, we describe our work In applying Genetic Algorithm (GA) to HRTF modeling. Based on a linear combination model, our system uses a GA to find the basis spectra and the normal equation method to compute the weights matrix. Individual HRTFs at different azimuths and elevations are represented as a weighted combination of the basis spectra. A set of HRTFs from the MIT Media Lab's KEMAR measurements was used as the source data

Published in:

Multimedia Signal Processing, 1997., IEEE First Workshop on

Date of Conference:

23-25 Jun 1997