Title
Resolving Spatial Sampling Effects In Parametric Directional Filtering
Abstract
Directional Audio Coding (DirAC) represents an efficient scheme to analyze and reproduce spatial sound; the coded stream consists of a single-channel audio signal and few parameters. Estimation of these parameters ideally relies on figure-of-eight microphones and one omnidirectional microphone. The figure-of-eight directivity can be efficiently approximated by first-order differential microphone arrays. However, due to spatial sampling, there are considerable deviations from the required directivity at high frequencies. These deviations lead to incorrect spatial parameter estimates; especially, the instantaneous direction-of-arrival (DOA) becomes biased and - beyond a certain aliasing frequency - ambiguous. Parameters like the DOA drive subsequent processing units, e. g., for spatial filtering. In this paper we propose a novel strategy to compensate bias and ambiguity not directly w. r. t. the DOA but the output parameters of a spatial filtering processing unit. Simulation results confirm the benefits of the novel method, which does not involve additional computational load at run-time.
Year
DOI
Venue
2011
10.1109/ICASSP.2011.5946346
2011 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING
Keywords
Field
DocType
Spatial filters, beamforming, spatial audio coding, spatial aliasing
Audio signal,Computer science,Artificial intelligence,Spatial filter,Beamforming,Directivity,Pattern recognition,Algorithm,Speech recognition,Parametric statistics,Aliasing,Time–frequency analysis,Microphone
Conference
ISSN
Citations 
PageRank 
1520-6149
0
0.34
References 
Authors
1
5
Name
Order
Citations
PageRank
Markus Kallinger1857.49
Michael Buerger200.34
Oliver Thiergart3969.67
Fabian Kuech4837.51
Dirk Mahne500.34