DocumentCode
2575558
Title
3D-continuous-azimuth acquisition of head-related impulse responses using multi-channel adaptive filtering
Author
Enzner, Gerald
Author_Institution
Inst. of Commun. Acoust., Ruhr-Univ. Bochum, Bochum, Germany
fYear
2009
fDate
18-21 Oct. 2009
Firstpage
325
Lastpage
328
Abstract
A new method for fast acquisition of head-related impulse responses (HRIRs) for 3D-continuous-azimuth representation of the auditory sphere is presented. While the continuous HRIR representation in the azimuth direction is important for the rendering of moving sources in binaural sound systems, an HRIR discretization in the elevation is more tolerable. Basically, the paper suggests a multi-channel adaptive system identification technique which is eventually suitable for online calculation of HRIRs. In a first step, several discrete elevations of the sphere are equipped with sound sources and a subject of interest is rotated in the center of the sphere during simultaneous reproduction of multi-channel probe noise. On the basis of the simultaneous binaural recording of all sources, the rotating HRIRs are then extracted gradually by the adaptive system identification. This concept overcomes discrete-azimuth HRIR tables and their traditional need for interpolation. While the quality of HRIRs was formerly expressed in terms of the azimuth-spacing of the HRIR, we now feature quasi-infinite resolution.
Keywords
adaptive filters; audio signal processing; 3D-continuous-azimuth acquisition; HRIR discretization; auditory sphere; azimuth-spacing; binaural sound systems; interpolation; multichannel adaptive filtering; multichannel adaptive system identification a technique; of head-related impulse responses; quasi-infinite resolution; Acoustic applications; Adaptive filters; Adaptive systems; Audio systems; Azimuth; Distortion measurement; Frequency measurement; Interpolation; Probes; System identification; adaptive filters; binaural sound systems; head-related impulse responses;
fLanguage
English
Publisher
ieee
Conference_Titel
Applications of Signal Processing to Audio and Acoustics, 2009. WASPAA '09. IEEE Workshop on
Conference_Location
New Paltz, NY
ISSN
1931-1168
Print_ISBN
978-1-4244-3678-1
Electronic_ISBN
1931-1168
Type
conf
DOI
10.1109/ASPAA.2009.5346532
Filename
5346532
Link To Document