By Topic

A Binaural Synthesis with Multiple Sound Sources Based on Spatial Features of Head-related Transfer Functions

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

3 Author(s)
Chanda, P.S. ; LG Soft India Pvt. Ltd., Bangalore ; Sungjin Park ; Tae Ik Kang

A low-complexity binaural synthesis technique is proposed for real-time immersive rendering of large number of sound sources. A multiple-input single-output system of the spatial features, extracted from head-related transfer function (HRTF) dataset, is constructed to render the sound sources. Sound sources are rendered using low-order approximation of this system. This technique is suitable for rendering large number of sound sources in the virtual auditory space with significantly lower computational complexity compared to the binaural synthesis techniques proposed earlier. The performance of the proposed technique is evaluated using perceptual objective measure along with subjective tests.

Published in:

Neural Networks, 2006. IJCNN '06. International Joint Conference on

Date of Conference:

0-0 0