DocumentCode
3144435
Title
A frequency-domain algorithm to upscale ambisonic sound scenes
Author
Wabnitz, Andrew ; Epain, Nicolas ; Jin, Craig T.
Author_Institution
Comput. & Audio Res. Lab. (CARLab), Univ. of Sydney, Sydney, NSW, Australia
fYear
2012
fDate
25-30 March 2012
Firstpage
385
Lastpage
388
Abstract
In this paper, a novel algorithm for upscaling ambisonic sound scenes in the frequency domain is presented. This algorithm makes use of compressed sensing techniques to calculate a set of upscaling filters. These filters are then used to increase the spherical harmonic order of a set of ambisonic sound signals to higher orders. Upscaled ambisonic sound scenes have a greater spatial resolution, which allows more loudspeakers to be used during the playback, resulting in a larger sweet spot and improved sound quality. A formal listening test was conducted to evaluate the perceptual quality of sound fields reproduced using this technique. Results show that the proposed algorithm significantly improves the perceptual fidelity of the sound field reproduction, in comparison to classical ambisonic methods.
Keywords
acoustic signal processing; compressed sensing; filtering theory; frequency-domain analysis; loudspeakers; ambisonic sound scene upscaling; compressed sensing technique; formal listening test; frequency-domain algorithm; loudspeaker; perceptual fidelity; sound field reproduction; sound perceptual quality evaluation; spatial resolution; spherical harmonic order; upscaling filter; Arrays; Loudspeakers; Microphones; Time domain analysis; Time frequency analysis; Vectors; Acoustic Signal Processing; Audio Recording; Compressed Sensing; Signal Reconstruction;
fLanguage
English
Publisher
ieee
Conference_Titel
Acoustics, Speech and Signal Processing (ICASSP), 2012 IEEE International Conference on
Conference_Location
Kyoto
ISSN
1520-6149
Print_ISBN
978-1-4673-0045-2
Electronic_ISBN
1520-6149
Type
conf
DOI
10.1109/ICASSP.2012.6287897
Filename
6287897
Link To Document