Name
Title | ||
|---|---|---|
A comparative study of perceptional quality between wavefield synthesis and Multipole-Matched Rendering for spatial audio |
Abstract | ||
|---|---|---|
This paper introduces a new algorithm to render virtual sound sources with spatial properties in immersive environments. The algorithm, referred to as multipole-matched rendering, uses the method-of-moments and singular-value decomposition to optimally match a spherical-multipole expansion of the virtual source to the field resulting from a spatially distributed speaker set. The flexibility of this method over other approaches, such as wavefield synthesis, allows for complex speaker geometries, and requires a smaller number of speakers to achieve a similar spatial rendering performance for listeners in immersive environments. The trade-off for the enhanced performance is a smaller area of faithful reproduction. This limited area, however, can be focused around listener locations for a sweet-spot solution. Experimental results are presented from perceptual tests comparing multipole-matched rendering to both wavefield synthesis and stereo rendering using a linear speaker array. The experiments included 13 subjects and demonstrated that the perceived direction of a virtual sound source for the new method is comparable to that of wavefield synthesis (no significant difference). The results demonstrate the potential of multipole-matched rendering as an efficient technique for rendering virtual sound sources in immersive environments. |
Year | DOI | Venue |
|---|---|---|
2008 | 10.1109/ICASSP.2008.4517630 | Las Vegas, NV |
Keywords | Field | DocType |
audio equipment,audio signal processing,method of moments,singular value decomposition,complex speaker geometries,immersive environments,method-of-moments,multipole-matched rendering,perceptional quality,singular-value decomposition,spatial audio,spatially distributed speaker set,spherical-multipole expansion,virtual sound sources,wavefield synthesis,Acoustic arrays,Moment methods,Singular value decomposition | Computer vision,Singular value decomposition,Multipole expansion,Computer science,Real-time rendering,Artificial intelligence,Immersion (virtual reality),Audio equipment,Audio signal processing,Rendering (computer graphics),Method of moments (statistics) | Conference |
ISSN | ISBN | Citations |
1520-6149 E-ISBN : 978-1-4244-1484-0 | 978-1-4244-1484-0 | 0 |
PageRank | References | Authors |
0.34 | 0 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jens Hannemann | 1 | 8 | 2.07 |
| Christopher A. Leedy | 2 | 0 | 0.34 |
| Kevin D Donohue | 3 | 33 | 7.22 |
| Sascha Spors | 4 | 108 | 19.70 |
| Alexander Raake | 5 | 475 | 56.41 |