DocumentCode
2056598
Title
Height approximation for audio source localisation and tracking
Author
Hughes, Ashley ; Hopgood, James R. ; Robertson, Neil M.
Author_Institution
Sch. of Eng., Univ. of Edinburgh, Edinburgh, UK
fYear
2013
fDate
9-13 Sept. 2013
Firstpage
1
Lastpage
5
Abstract
The stochastic region contraction (SRC) algorithm has been proposed in the literature as a method for acoustic localisation using a microphone array in a noisy and reverberant environment. This technique makes use of the steered response power (SRP), a costly but robust technique for source localisation, and finds the global maximum vastly more efficiently than using a grid search method. We discuss combining this technique with prior information (e.g. in future work we will use a video tracker) to speed up the algorithm by, in some cases, an order of magnitude by limiting the heights to be searched. This gain is derived from simulations and is achieved whilst at the same time not neglecting large search volumes, continuing to allow a change of audio sources to be detected.
Keywords
acoustic signal processing; microphone arrays; reverberation; stochastic processes; SRC; SRP; audio source localisation; audio source tracking; grid search method; height approximation; microphone array; reverberant environment; steered response power; stochastic region contraction; Accuracy; Acoustics; Arrays; Equations; Interpolation; Microphones; Speech; Acoustic measurements; Microphones; Optimization methods; Sampling methods;
fLanguage
English
Publisher
ieee
Conference_Titel
Signal Processing Conference (EUSIPCO), 2013 Proceedings of the 21st European
Conference_Location
Marrakech
Type
conf
Filename
6811559
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