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Multi-channel listening-room compensation using a decoupled filtered-X LMS algorithm

: Goetze, S.; Kallinger, M.; Mertins, A.; Kammeyer, K.-D.


Matthews, M.B. ; Naval Postgraduate School -NPS-, Monterey/Calif.; IEEE Signal Processing Society:
42nd Asilomar Conference on Signals, Systems and Computers 2008. Proceedings. Vol.2 : Pacific Grove, California, USA, 26 - 29 October 2008
Piscataway, NJ: IEEE, 2008
ISBN: 978-1-4244-2940-0
ISBN: 978-1-4244-2941-7
Asilomar Conference on Signals, Systems and Computers <42, 2008, Pacific Grove/Calif.>
Conference Paper
Fraunhofer IDMT ()

Dereverberation of speech signals in a hands-free scenario by inverse filtering has been a research topic for several years now. However, it is still a challenging problem because of the nature of common room impulse responses (RIRs), which are time-variant mixed phase systems having a large number of zeros close to, on, and even outside the unit circle in the z-domain. In this contribution an adaptive multi-channel equalization algorithm based on a decoupled version of the modified filtered-X LMS (mFxLMS) will be derived in the partitioned frequency domain. This new algorithm allows for fast convergence, computationally efficient implementation, and a low system delay under realistic conditions such as ambient noise and imperfect RIR estimates.