Title :
System Identification for Multi-Channel Listening-Room Compensation Using an Acoustic Echo Canceller
Author :
Goetze, Stefan ; Kallinger, Markus ; Mertins, Alfred ; Kammeyer, Karl-Dirk
Author_Institution :
Dept. of Commun. Eng., Univ. of Bremen, Bremen
Abstract :
Modern hands-free telecommunication devices jointly apply several subsystems, e.g. for noise reduction (NR), acoustic echo cancellation (AEC) and listening-room compensation (LRC). In this contribution the combination of an equalizer for listening room compensation and an acoustic echo canceller is analyzed. Inverse filtering of room impulse responses (RIRs) is a challenging task since they are, in general, mixed phase systems having hundreds of zeros inside and outside near the unit circle in the z-domain. Furthermore, a reliable estimate of the RIR which shall be inverted is important. Since RIRs are time-variant due to possible changes of the acoustic environment, they have to be identified adaptively. If an AEC (or any other adaptive method) is used to identify the time variant room impulse responses the estimate´s distance to the real RIRs may be too high for a satisfying equalization, especially in periods of initial convergence of the AEC or after RIR changes. Therefore, we propose to estimate the convergence state of the AEC and to incorporate this knowledge into the equalizer design.
Keywords :
acoustic signal processing; compensation; echo suppression; equalisers; filtering theory; telecommunication channels; transient response; acoustic echo canceller; equalizer design; hands-free telecommunication device; inverse filtering; multichannel listening-room compensation; room impulse response; system identification; Acoustic devices; Acoustic signal processing; Convergence; Echo cancellers; Equalizers; Filters; Loudspeakers; Microphones; Speech; System identification; Acoustic Echo Cancellation (AEC); Acoustic Equalization; Least-Squares Equalizer (LS-EQ); Listening Room Compensation (LRC); System Identification;
Conference_Titel :
Hands-Free Speech Communication and Microphone Arrays, 2008. HSCMA 2008
Conference_Location :
Trento
Print_ISBN :
978-1-4244-2337-8
Electronic_ISBN :
978-1-4244-2338-5
DOI :
10.1109/HSCMA.2008.4538727