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Dereverberation in noisy environments using reference signals and a maximum likelihood estimator

: Braun, S.; Habets, Emanuël A.P.

Institute of Electrical and Electronics Engineers -IEEE-; European Association for Signal Processing -EURASIP-:
21st European Signal Processing Conference, EUSIPCO 2013. Proceedings. Vol.3 : Marrakech, Morocco, 9 - 13 September 2013
Piscataway, NJ: IEEE, 2013
ISBN: 978-1-4799-3687-8
ISBN: 9780992862602
European Signal Processing Conference (EUSIPCO) <21, 2013, Marrakech>
Fraunhofer IIS ()

In speech communication systems the received microphone signals are commonly degraded by reverberation and ambient noise that can decrease the fidelity and intelligibility of a desired speaker. Reverberation can be modeled as nonstationary diffuse sound which is not directly observable. In this work, we derive an optimal signal-dependent informed spatial filter to reduce jointly reverberation and noise. In addition, we derive a novel maximum likelihood estimator for the power spectral density (PSD) of the diffuse sound, that makes use of a set of linearly independent reference signals. Experimental results show, that the proposed method provides an accurate estimate of the diffuse PSD, even with a small number of microphones. The proposed method outperforms two existing methods and is able to provide an optimal tradeoff between noise reduction and dereverberation.