Title :
System identification for listening-room compensation by means of acoustic echo cancellation and acoustic echo suppression filters
Author :
Xiong, Feifei ; Appell, Jens-E ; Goetze, Stefan
Author_Institution :
Project Group Hearing-, Speech- & Audio-Technol. (HSA), Fraunhofer Inst. for Digital Media Technol. (IDMT), Oldenburg, Germany
Abstract :
Subsystems for dereverberation and acoustic echo cancellation (AEC)/acoustic echo suppression (AES) are important components in high-quality hands-free telecommunication systems. This contribution describes and analyzes a combined system for dereverberation and AEC/AES. The system identification inherently achieved by the AEC/AES system is used for the design of the room impulse response (RIR) equalization filter, i.e. the listening-room compensation (LRC) system. We use complex RIR smoothing and decoupled filtered-X least-mean-squares (dFxLMS) gradient algorithm for LRC and a combined AEC/AES system for the system identification necessary for the LRC filter design. The performance of the combined system and the mutual influences of LRC and AEC/AES are analyzed.
Keywords :
acoustic filters; echo suppression; gradient methods; least mean squares methods; noise abatement; reverberation; acoustic echo cancellation; acoustic echo suppression filters; decoupled filtered X least mean squares gradient algorithm; dereverberation cancellation; high quality hands-free telecommunication systems; listening room compensation system; room impulse response equalization filter; system identification; Convergence; Echo cancellers; Equalizers; Least squares approximation; Smoothing methods; Speech; Acoustic Echo Cancellation; Complex Smoothing; Decoupled Filtered-X LMS; Dereverberation; Listening-Room Compensation; System Identification;
Conference_Titel :
Acoustics, Speech and Signal Processing (ICASSP), 2012 IEEE International Conference on
Conference_Location :
Kyoto
Print_ISBN :
978-1-4673-0045-2
Electronic_ISBN :
1520-6149
DOI :
10.1109/ICASSP.2012.6287932
