We developed an analytical top-down approach to the problem of blind dereverberation of speech and audio signals, based on TRINICON, a general framework for broadband adaptive MIMO signal processing. Two fundamentally different approaches to the dereverberation problem for realistic scenarios can be distinguished: The "identification-and-inversion approach" which results in a two-step procedure consisting of blind identification of the acoustic MIMO mixing system, followed by an inversion of the identified system. As an alternative, the "direct-inverse approach" blindly estimates the inverse of the acoustic mixing system directly. It can be shown that for both cases TRINICON yields the information-theoretically optimum estimation procedures in a unified way and allows for a direct comparison between the approaches, paves the way to synergies, and yields various useful insights for practical realizations. We also relate various known algorithms to the framework, and present novel improved algorithms as special cases of the generic concept.
| [B10-1] |
H. Buchner and W. Kellermann,
"TRINICON for dereverberation of speech and audio signals,"
In P.A. Naylor and N.D. Gaubitch (eds.), Speech Dereverberation,
Springer-Verlag, to appear in 2010.
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| [C08-6] | H. Buchner, R. Aichner, and W. Kellermann, "The TRINICON framework for adaptive MIMO signal processing with focus on the generic Sylvester constraint," Proc. ITG Conf. on Speech Communication, Aachen, Germany, Oct. 2008. |
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| [B07-1] |
H. Buchner, R. Aichner, and W. Kellermann,
"TRINICON-based blind system identification with application to multiple-source localization and separation,"
In S. Makino, T.-W. Lee, and S. Sawada (eds.), Blind Speech Separation,
Springer-Verlag, Berlin/Heidelberg, pp. 101-147, Sept. 2007.
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| [C05-1] | R. Aichner, H. Buchner, and W. Kellermann, "On the Causality Problem in Time-Domain Blind Source Separation and Deconvolution Algorithms," Proc. IEEE Intl. Conf. on Acoustics, Speech, and Signal Processing (ICASSP), Philadelphia, PA, USA, March 2005. |
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| [C04-7] | H. Buchner, R. Aichner, and W. Kellermann, "TRINICON: A Versatile Framework for Multichannel Blind Signal Processing," Conf. Rec. IEEE Intl. Conf. on Acoustics, Speech, and Signal Processing (ICASSP), Montreal, Canada, vol. 3, pp. 889-892, May 2004. Invited Paper. Download my slides (pdf). |
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| [B04-1] |
H. Buchner, R. Aichner, and W. Kellermann,
"Blind Source Separation for Convolutive Mixtures: A Unified Treatment,"
In Y.Huang and J. Benesty (eds.), Audio Signal Processing for Next-Generation Multimedia
Communication Systems,
Kluwer Academic Publishers, Boston/Dordrecht/London, pp. 255-293, Feb. 2004.
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| [C03-7] | H. Buchner, R. Aichner, and W. Kellermann, "Blind Source Separation for Convolutive Mixtures Exploiting Nongaussianity, Nonwhiteness, and Nonstationarity," Conf. Rec. IEEE Intl. Workshop on Acoustic Echo and Noise Control (IWAENC), Kyoto, Japan, pp. 275-278, September 2003. |
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| [C03-3] |
H. Buchner, R. Aichner, and W. Kellermann,
"A Generalization of a Class of Blind Source Separation Algorithms for Convolutive Mixtures,"
Proc. IEEE Int. Symposium on Independent Component Analysis and Blind Source Separation (ICA), Nara, Japan, pp. 945-950, April 2003.
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Latest update: Aug. 2009