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Direct-ambient decomposition using parametric Wiener filtering with spatial cue control

: Uhle, Christian; Habets, Emanuël A.P.


Institute of Electrical and Electronics Engineers -IEEE-; IEEE Signal Processing Society:
IEEE 40th IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2015. Proceedings. Vol.1 : 19-24 April 2015, Brisbane, Australia
Piscataway, NJ: IEEE, 2015
ISBN: 978-1-4673-6997-8
ISBN: 978-1-4673-6998-5
International Conference on Acoustics, Speech, and Signal Processing (ICASSP) <40, 2015, Brisbane>
Conference Paper
Fraunhofer IIS ()

A method for decomposing audio signals into direct signals and ambient signals is described that can be applied to sound post-production and reproduction. The proposed method is based on a parametric multichannel Wiener filter (MWF) that enables a trade-off between the attenuation of the interfering signal and the distortion of the desired signal. We show that the MWF leads to distortions of the spatial cues of the ambient output signal, namely inter-channel correlation and inter-channel level difference. Our proposed solution is to control the trade-off parameter of the parametric MWF to ensure that these spatial distortions are inaudible.