Informed spatial filtering based on constrained independent component analysis

Article in Edited Volumes
(Book chapter)

Publication Details

Author(s): Barfuß H, Reindl K, Kellermann W
Editor(s): Shoji Makino
Title edited volumes: Audio Source Separation
Publisher: Springer
Publication year: 2018
Pages range: 237-278
ISBN: 978-3-319-73031-8
Language: English


In this work, we present a linearly constrained signal extraction algorithm which is based on a Minimum Mutual Information (MMI) criterion that allows to exploit the three fundamental properties of speech and audio signals: Nonstationarity, Nonwhiteness, and Nongaussianity.  Hence, the proposed method is very well suited for signal processing of nonstationary nongaussian broadband signals like speech. Furthermore, from the linearly constrained MMI approach, we derive an efficient realization in a Generalized Sidelobe Canceler structure. To estimate the relative transfer functions between the microphones, which are needed for the set of linear constraints, we use an informed time-domain independent component analysis algorithm, which exploits some coarse direction-of-arrival information of the target source. As a decisive advantage, this simplifies the otherwise challenging control mechanism for simultaneous adaptation of the GSC's blocking matrix und interference and noise canceler coefficients. Finally, we establish relations between the proposed method and other well-known multichannel linear filter approaches for signal extraction based on second-order-statistics, and demonstrate the effectiveness of the proposed signal extraction method in a multispeaker scenario.

FAU Authors / FAU Editors

Barfuß, Hendrik
Professur für Nachrichtentechnik
Kellermann, Walter Prof. Dr.-Ing.
Professur für Nachrichtentechnik
Reindl, Klaus
Professur für Nachrichtentechnik

How to cite

Barfuß, H., Reindl, K., & Kellermann, W. (2018). Informed spatial filtering based on constrained independent component analysis. In Shoji Makino (Eds.), Audio Source Separation. (pp. 237-278). Springer.

Barfuß, Hendrik, Klaus Reindl, and Walter Kellermann. "Informed spatial filtering based on constrained independent component analysis." Audio Source Separation. Ed. Shoji Makino, Springer, 2018. 237-278.


Last updated on 2019-01-01 at 03:10