A double-talk detector based on coherence

Gänsler, Tomas; Hansson, Maria; Ivarsson, Carl-Johan; Salomonsson, G.

doi:10.1109/26.544458

Cited by 113 publications

(47 citation statements)

References 10 publications

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“…Often in an acoustic environment, the acoustic coupling between the microphone and the loudspeaker makes it hard or even impossible to detect present near-end speech by comparing average energy of the loudspeaker and microphone signal [7]. Thus, for acoustic echo cancellation in general, condition (4) is not suitable as a doubletalk detector.…”

Section: A Transfer Logicmentioning

confidence: 98%

“…This is controlled by comparisons between the short-term powers of the signals , , , and . In the original two-path algorithm, the update conditions for the foreground filter [11] are basically as given by (4) (5) (6) where , , and are thresholds and the power estimate is given by, e.g., (7) where is the update interval. In the transfer logic of the original two-path algorithm, the foreground filter updating is performed at every th sample in order to reduce computational complexity and memory requirement.…”

Section: A Transfer Logicmentioning

confidence: 99%

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An Improvement of the Two-Path Algorithm Transfer Logic for Acoustic Echo Cancellation

Lindström¹,

Schüldt

Claesson

2007

IEEE Trans. Audio Speech Lang. Process.

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Abstract-Adaptive filters for echo cancellation generally need update control schemes to avoid divergence in case of significant disturbances. The two-path algorithm avoids the problem of unnecessary halting of the adaptive filter when the control scheme gives an erroneous output. Versions of this algorithm have previously been presented for echo cancellation. This paper presents a transfer logic which improves the convergence speed of the twopath algorithm for acoustic echo cancellation, while retaining the robustness. Results from simulations show an improved performance, and a fixed-point DSP implementation verifies the performance in real-time.

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Section: A Transfer Logicmentioning

confidence: 98%

Section: A Transfer Logicmentioning

confidence: 99%

An Improvement of the Two-Path Algorithm Transfer Logic for Acoustic Echo Cancellation

Lindström¹,

Schüldt

Claesson

2007

IEEE Trans. Audio Speech Lang. Process.

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show abstract

“…During the double-talk, the near-end speech that behaves as the uncorrelated noise may cause the adaptive filter to diverge. For this reason, several double-talk detectors (DTDs) have been proposed for halting the adaptation [1][2][3][4]. It is difficult to distinguish between the double-talk and echo path change for these DTDs.…”

Section: Introductionmentioning

confidence: 99%

Improved transfer logic of two-path algorithm for acoustic echo cancellation

Wang¹,

Liu²

2013

Journal of Computer Applications

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Abstract-Adaptive echo cancellers with two-path algorithm are applied to avoid the false adaptation during the double-talk situation. In the two-path algorithm, several transfer logic solutions have been proposed to control the filter update. This paper presents an improved transfer logic solution. It improves the convergence speed of the two-path algorithm, and allows the reduction of the memory elements and computational complexity. Results of simulations show the improved performance of the proposed solution.

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“…Another solution is to use a double-talk detector (DTD) and freeze updating of the adaptive filter [4][5][6][7]. In this case, however, conventional adaptive algorithms, such as the normalized least-mean-squares (NLMS), cannot adapt to echo path changes that occur while double-talk is in progress.…”

Section: Introductionmentioning

confidence: 99%

Frequency domain adaptive algorithm with nonlinear function of error-to-reference ratio for double-talk robust echo cancellation

Shimauchi

Hori

Kataoka

2005

Acoust. Sci. & Tech.

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Several adaptive algorithms for robust echo cancellation use nonlinear reference and/or error functions. Most of them require time-variant threshold estimators, e.g., noise level estimators or double-talk detectors, since their nonlinearities have to be adjusted in response to changes in near-end noise or speech signal levels. We propose a new frequency domain adaptive algorithm: the gradientlimited fast least-mean-squares (GL-FLMS), in which the coefficients are updated by using a nonlinear function of the error scaled by the reference magnitude, i.e., the error-to-reference ratio (ERR). When the acoustic coupling level between loudspeaker and microphone is bounded, the ERR is also bounded in the case of single-talk, but may increase during double-talk. The GL-FLMS limits unexpected increases in the ERR with fixed thresholds and prevents divergence of the coefficients, while not neglecting updates to adjust when a large reference signal introduces a large error during single-talk.

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A double-talk detector based on coherence

Cited by 113 publications

References 10 publications

An Improvement of the Two-Path Algorithm Transfer Logic for Acoustic Echo Cancellation

An Improvement of the Two-Path Algorithm Transfer Logic for Acoustic Echo Cancellation

Improved transfer logic of two-path algorithm for acoustic echo cancellation

Frequency domain adaptive algorithm with nonlinear function of error-to-reference ratio for double-talk robust echo cancellation

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