DocumentCode :
2235877
Title :
Pitch analysis-based acoustic echo cancellation over a nonlinear channel
Author :
Xiaojian Lu ; Champagne, Benoit
Author_Institution :
Dept. of Electr. & Comput. Eng., McGill Univ., Montreal, QC, Canada
fYear :
2002
fDate :
3-6 Sept. 2002
Firstpage :
1
Lastpage :
4
Abstract :
This paper proposes a new acoustic echo cancellation (AEC) system which combines a conventional AEC algorithm with the pitch analysis technique. Departing from the use of pitch prediction in speech coding, we use two signals, i.e. the estimated echo and the residual echo, to fulfill the pitch extraction in the AEC system. This system is suitable for the applications of digital networks where the nonlinearities of the echo path significantly degrade the performance of conventional AEC algorithms. Simulation results using a nonlinear channel show that, compared to conventional AEC algorithms, the proposed system remarkably suppresses the acoustic echo during double-talk.
Keywords :
acoustic signal processing; echo suppression; speech coding; AEC system; acoustic echo cancellation system; digital networks; double-talk; echo path; estimated echo; nonlinear channel; pitch analysis technique; pitch extraction; residual echo; speech coding; Abstracts; Acoustics; Codecs; Filtering; Noise; Optimized production technology; Simulation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal Processing Conference, 2002 11th European
Conference_Location :
Toulouse
ISSN :
2219-5491
Type :
conf
Filename :
7072085
Link To Document :
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