A Steered-Response Power Algorithm Employing Hierarchical Search for Acoustic Source Localization Using Microphone Arrays

The localization of a speaker inside a closed environment is often approached by real-time processing of multiple audio signals captured by a set of microphones. One of the leading related methods for sound source localization, the steered-response power (SRP), searches for the point of maximum powe...

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Vydáno v:IEEE transactions on signal processing Ročník 62; číslo 19; s. 5171 - 5183
Hlavní autoři: Nunes, Leonardo O., Martins, Wallace A., Lima, Markus V. S., Biscainho, Luiz W. P., Costa, Mauriacio V. M., Goncalves, Felipe M., Said, Amir, Bowon Lee
Médium: Journal Article
Jazyk:angličtina
Vydáno: New York IEEE 01.10.2014
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:
Arrays
branch-and-bound
Complexity
computational complexity
Convergence
Electronic mail
Errors
hierarchical search
Linear programming
Localization
microphone array
Microphones
Position (location)
Reverberation
Search problems
Searching
Signal processing algorithms
Sound source localization
Sound sources
steered-response power
ISSN:1053-587X, 1941-0476
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Shrnutí:The localization of a speaker inside a closed environment is often approached by real-time processing of multiple audio signals captured by a set of microphones. One of the leading related methods for sound source localization, the steered-response power (SRP), searches for the point of maximum power over a spatial grid. High-accuracy localization calls for a dense grid and/or many microphones, which tends to impractically increase computational requirements. This paper proposes a new method for sound source localization (called H-SRP), which applies the SRP approach to space regions instead of grid points. This arrangement makes room for the use of a hierarchical search inspired by the branch-and-bound paradigm, which is guaranteed to find the global maximum in anechoic environments and shown experimentally to also work under reverberant conditions. Besides benefiting from the improved robustness of volume-wise search over point-wise search as to reverberation effects, the H-SRP attains high performance with manageable complexity. In particular, an experiment using a 16-microphone array in a typical presentation room yielded localization errors of the order of 7 cm, and for a given fixed complexity, competing methods' errors are two to three times larger.
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ISSN:1053-587X
1941-0476
DOI:10.1109/TSP.2014.2336636