Share Email Print
cover

Proceedings Paper

Low-order modelling of head related transfer functions based on spectral smoothing and principal component analysis
Author(s): Michal Pec; Pawel Strumillo
Format Member Price Non-Member Price
PDF $14.40 $18.00

Paper Abstract

The article presents wavelet-based spectral smoothing and Principal Component Analysis as a pre-processing step for Head Related Transfer Function (HRTF) filter design. Spectral smoothing of HRTF by means of Stationary Wavelet Transform discards low-value peaks and notches in HRTF which can be treated as noise. The Principal Component Analysis applied to the HRTF data extracts most important frequency components responsible for sound source localization in azimuth and elevation. These methods used in combination are used to reduce the order of filters that are applied in 3D audio rendering system.

Paper Details

Date Published: 5 August 2009
PDF: 6 pages
Proc. SPIE 7502, Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2009, 75021J (5 August 2009); doi: 10.1117/12.838134
Show Author Affiliations
Michal Pec, Technical Univ. of Lodz (Poland)
Pawel Strumillo, Technical Univ. of Lodz (Poland)


Published in SPIE Proceedings Vol. 7502:
Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2009
Ryszard S. Romaniuk; Krzysztof S. Kulpa, Editor(s)

© SPIE. Terms of Use
Back to Top