A New Doubletalk and Channel Change Detection Algorithm based on Hypothesis Testing
Abstract
In acoustic and network echo cancellation, the detection of doubletalk and echo path channel changes are important to the control of the echo canceller's adaptive filter. This paper investigates joint doubletalk and channel change detection from an M-hypotheses test perspective. Also, using a stationary Gaussian stochastic input signal model, we propose a doubletalk versus channel change detection algorithm based on the likelihood ratio test. This proposed detection algorithm intuitively has a dynamic threshold which is based on the probabilities of past doubletalk and echo path change detection outputs. Simulation results prove the efficiency of the proposed detection algorithm. © 2012 EURASIP.
Recommended Citation
J. Liu and S. L. Grant, "A New Doubletalk and Channel Change Detection Algorithm based on Hypothesis Testing," European Signal Processing Conference, pp. 2457 - 2461, article no. 6334199, Institute of Electrical and Electronics Engineers, Nov 2012.
Department(s)
Electrical and Computer Engineering
Keywords and Phrases
acoustic echo cancellation; Channel change detection; doubletalk detection; hypothesis testing; likelihood ratio test
International Standard Book Number (ISBN)
978-146731068-0
International Standard Serial Number (ISSN)
2219-5491
Document Type
Article - Conference proceedings
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2024 Institute of Electrical and Electronics Engineers, All rights reserved.
Publication Date
27 Nov 2012
