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Signal-to-reverberant ratio estimation based on the complex spatial coherence between omnidirectional microphones

: Habets, E.A.P.; Thiergart, O.; Del Galdo, G.


IEEE Signal Processing Society:
IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2012. Vol.1 : Kyoto, Japan, 25 - 30 March 2012; Proceedings
New York, NY: IEEE, 2012
ISBN: 978-1-4673-0046-9
ISBN: 978-1-4673-0045-2 (Print)
ISBN: 978-1-4673-0044-5 (Online)
International Conference on Acoustics, Speech and Signal Processing (ICASSP) <37, 2012, Kyoto>
Conference Paper
Fraunhofer IIS ()

The signal-to-reverberant ratio (SRR) is an important parameter in several applications such as speech enhancement, dereverberation, and parametric spatial audio coding. In this contribution, an SRR estimator is derived from the direction-of-arrival dependent complex spatial coherence function computed via two omnidirectional microphones. It is shown that by employing a computationally inexpensive DOA estimator, the proposed SRR estimator outperforms existing approaches.