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Direction Preserving Wiener Matrix Filtering for Ambisonic Input-output Systems

: Herzog, A.; Habets, E.A.P.


Sanei, Saeid (General Chair) ; Institute of Electrical and Electronics Engineers -IEEE-; IEEE Signal Processing Society:
ICASSP 2019, IEEE International Conference on Acoustics, Speech and Signal Processing. Proceedings : May 12-17, 2019, Brighton
Piscataway, NJ: IEEE, 2019
ISBN: 978-1-4799-8131-1
ISBN: 978-1-4799-8132-8
International Conference on Acoustics, Speech, and Signal Processing (ICASSP) <44, 2019, Brighton>
Conference Paper
Fraunhofer IIS ()

We present a spatial matrix filtering framework for noise reduction in the spherical harmonics (ambisonics) domain (SHD), which outputs an SHD signal vector rather than one signal as commonly provided by beamforming approaches. We discuss two spatial matrix filtering methods: A multi-beamformer method using known propagation vectors of the desired signal components and a method preserving the directional information in an optimal way. Parametric multi-channel Wiener filter solutions for both methods are discussed and a performance evaluation is conducted. It is shown that the direction preserving method preserves the spatial distribution of the desired sounds and residual noise at the cost of less noise reduction and higher signal distortion when compared to the multi-beamformer approach. Moreover, no spatial parameters have to be estimated.