DocumentCode :
146703
Title :
Non-linear adaptive echo supression algorithms: A technical survey
Author :
Panda, Biplab ; Kar, Asutosh ; Chandra, Mahesh
Author_Institution :
E&TC Dept., IIIT, Bhubaneswar, India
fYear :
2014
fDate :
3-5 April 2014
Abstract :
Voice communication today has become an indispensable part of human lives. Long distance communication is as crucial as face to face conversation. Hence, the issue of speech quality needs to be addressed with utmost priority. In this paper, the importance of voice communication over long distance is discussed. Then the analysis proceeds with the thorough study of an acoustic environment with the presence of acoustic echo in the scenario. Subsequently, the nonlinear acoustic echo is studied along with the difficulties that need to be tackled with to ensure its effective cancellation without causing harm to the significant voice data that need to be transmitted. Finally, various methods to find the non-linearity are presented with the thorough comparison of the existing nonlinear acoustic echo cancellation algorithms.
Keywords :
acoustic signal processing; adaptive signal processing; echo suppression; speech processing; voice communication; face to face conversation; long distance communication; nonlinear acoustic echo cancellation algorithms; nonlinear adaptive echo supression algorithms; speech quality; voice communication; Acoustics; Computational modeling; Convergence; Indexes; Loudspeakers; Noise; Speech; Hammerstein model; Volterra series; echo suppressor; nonlinear acoustic echo cancellation(NAEC); predistorter;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Communications and Signal Processing (ICCSP), 2014 International Conference on
Conference_Location :
Melmaruvathur
Print_ISBN :
978-1-4799-3357-0
Type :
conf
DOI :
10.1109/ICCSP.2014.6949802
Filename :
6949802
Link To Document :
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