Multi-Channel Listening-Room Compensation using a Decoupled Filtered-X LMS Algorithm

Autoren: S. Goetze, M. Kallinger, A. Mertins, K.-D. Kammeyer
Kurzfassung: Dereverberation of speech signals in a hands-free scenario by inverse filtering has been 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 or 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, computational efficient implementation and a low system delay under realistic conditions such as high ambient noise and imperfect RIR estimates.
Dokumenttyp: Konferenzbeitrag
Veröffentlichung: Monterey, CA, USA, 26. - 29. Oktober 2008
Konferenz: Asilomar Conference on Signals, Systems, and Computers
Seiten: 811-815
Goetze_Asilomar_2008_dFxLMS.pdf268 KB
Zuletzt aktualisiert am 15.06.2009 von S. Goetze
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