Browsing by Author "Jenq, JC"

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A Double-talk resistant echo cancellation based on iterative maximal-length correlation
(2000)
Jenq, JC
;
Hsieh, SF
;
電信工程研究所
;
Institute of Communications Engineering
A novel acoustic echo canceller for speakerphone system based upon Iterative Maximal Length Correlation (IMLC) algorithm is proposed. This algorithm is robust to double talk because of the nature of the ML sequence; it also iteratively reduces the far-end speech's effects. This simple structure was found to perform very well. We also perform a rigorous convergence analysis and derive the lower bound for the coefficients error. Computer simulations also confirm our theoretical results.
Acoustic echo cancellation using iterative-maximal-length correlation and double-talk detection
(2001-11-01)
Jenq, JC
;
Hsieh, SF
;
電信工程研究所
;
Institute of Communications Engineering
The conventional maximal-length-correlation (MLC) algorithm to estimate room impulse response for adaptive echo cancellation (AEC) is disturbed by both far-end and near-end speeches. In this paper, a new iterative-maximal-length-correlation (IMLC) algorithm is proposed to reduce the far-end speech interference. To avoid the near-end interference, a new double-talk detection (DTD) method is proposed by tracking the squared coefficients errors of the AEC filter. This DTD method has well-separated detection margins among single-talk (ST), double-talk (DT), and echo path changes. Statistical analysis and computer simulations confirm that our proposed IMLC-DTD algorithm outperforms conventional methods.
Decision of double-talk and time-variant echo path for acoustic echo cancelation
(2003-11-01)
Jenq, JC
;
Hsieh, SF
;
電信工程研究所
;
Institute of Communications Engineering
A new double-talk detection (DTD) method is proposed for acoustic echo cancelation (AEC) using the iterative maximal-length-correlation (IMLC) algorithm. Based on the assumption of uniformly distributed time-variant echo-path-change, we develop a simplified likelihood ratio test and plot the detection performance by a receiver operating characteristic. Computer simulation shows the proposed DTD method is effective in discriminating double-talk from time-variant echo-path-change.