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Power-based signal-to-diffuse ratio estimation using noisy directional microphones

 
: Thiergart, Oliver; Ascherl, Tobias; Habets, Emanuël A.P.

:

Institute of Electrical and Electronics Engineers -IEEE-; IEEE Signal Processing Society:
IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2014. Vol.9 : Florence, Italy, 4 - 9 May 2014
Piscataway, NJ: IEEE, 2014
ISBN: 978-1-4799-2894-1
ISBN: 978-1-4799-2892-7
ISBN: 978-1-4799-2893-4
pp.7440-7444
International Conference on Acoustics, Speech and Signal Processing (ICASSP) <39, 2014, Florence>
English
Conference Paper
Fraunhofer IIS ()

Abstract
The signal-to-diffuse ratio (SDR), which describes the power ratio between the direct and diffuse component of a sound field, is an important parameter in many applications. This paper proposes a power-based SDR estimator which considers the auto power spectral densities obtained by noisy directional microphones. Compared to recently proposed estimators that exploit the spatial coherence between two microphones, the power-based estimator is more robust at lower frequencies given that the microphone directivities are known with sufficiently high accuracy. The proposed estimator can incorporate more than two microphones and can therefore provide accurate SDR estimates independently of the direction-of-arrival of the direct sound. We further propose a method to determine the optimal microphone orientations for a given set of directional microphones. Simulations show the practical applicability.

: http://publica.fraunhofer.de/documents/N-330202.html