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Joint estimation of reverberation time and direct-to-reverberation ratio from speech using auditory inspired features

: Xiong, F.; Goetze, S.; Meyer, B.T.

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Eaton, J.; Gaubitch, N.D.; Moore, A.H.; Naylor, P.A.:
Proceedings of the ACE Challenge Workshop. Online proceedings : A satellite event of IEEE-WASPAA (2015). New Paltz, New York, USA, 21st October 2015
Online im WWW, 2015
5 pp.
Acoustic Characterisation of Environments Challenge Workshop (ACE Challenge) <2015, New Paltz/NY>
Conference Paper, Electronic Publication
Fraunhofer IDMT ()

Blind estimation of acoustic room parameters such as the reverberation time T60 and the direct-to-reverberation ratio (DRR) is still a challenging task, especially in case of blind estimation from reverberant speech signals. In this work, a novel approach is proposed for joint estimation of T60 andDRR fromwideband speech in noisy conditions. 2D Gabor filters arranged in a filterbank are exploited for extracting features, which are then used as input to a multi-layer perceptron (MLP). The MLP output neurons correspond to specific pairs of (T60,DRR) estimates; the output is integrated over time, and a simple decision rule results in our estimate. The approach is applied to single-microphone fullband speech signals provided by the Acoustic Characterization of Environments (ACE) Challenge. Our approach outperforms the baseline systems with median errors of close-to-zero and -1.5 dB for the T60 and DRR estimates, respectively, while the calculation of estimates is 5.8 times faster compared to the baseline.