Barfuß H, Reindl K, Kellermann W (2018)
Publication Language: English
Publication Type: Book chapter / Article in edited volumes
Publication year: 2018
Publisher: Springer
Edited Volumes: Audio Source Separation
Pages Range: 237-278
ISBN: 978-3-319-73031-8
URI: https://link.springer.com/chapter/10.1007/978-3-319-73031-8_10
DOI: 10.1007/978-3-319-73031-8_10
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.
APA:
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.
MLA:
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.
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