2010 IEEE International Conference on Acoustics, Speech and Signal Processing 2010
DOI: 10.1109/icassp.2010.5495914
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An improved deviation measure for two-path echo cancellation

Abstract: Parallel adaptive filters have been proposed for echo cancellation to solve the dead-lock problem, occurring when the echo is detected as near-end speech after a severe echo-path change; causing the updating of the adaptive filter to halt. To control the parallel filters and monitor their performance, estimates of the filter deviation (i.e. the squared norm of the filter mismatch vector) are typically used.This paper presents a modification of a filter mismatch estimator. The proposed modification requires sli… Show more

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Cited by 3 publications
(16 citation statements)
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“…As in [12], it can be argued that |ρ D (k)| < |ρ(k)| should hold in most cases since the auto-correlation for speech decreases as the lag increases. For D < 0 this is trivial to realize by comparing equations (14) and (17).…”
Section: Proposed Double-talk Detectormentioning
confidence: 94%
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“…As in [12], it can be argued that |ρ D (k)| < |ρ(k)| should hold in most cases since the auto-correlation for speech decreases as the lag increases. For D < 0 this is trivial to realize by comparing equations (14) and (17).…”
Section: Proposed Double-talk Detectormentioning
confidence: 94%
“…Further, if any of the signals x(k) and v(k) are white, then ρ(k) = 0. In the case of speech, the magnitude of the first factor in equation (14) is likely to decrease as i increases, since the autocorrelation of a speech signal usually decrease rapidly as the lag increases [12], [13], [14]. Further, since all eigenvalues if X i are non-negative and ≤ 1, the magnitude of the eigenvalues of the matrix resulting of the product i−1 j=0 X j are monotonically decreasing as i increases.…”
Section: −1mentioning
confidence: 99%
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“…filter deviation measure presented in [4] and the delay based double-talk detector presented in [5]. A more efficient way of calculating the delay based measures than in the original papers is also presented.…”
Section: Introductionmentioning
confidence: 99%