Improving Acoustic Echo Cancellation in Hands-free Communication Systems

Hamidia, Mahfoud; Amrouche, Abderrahmane

doi:10.1109/ispa48434.2019.8966823

Cited by 4 publications

(3 citation statements)

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“…This section presents the experimental tests with the evaluation to prove the effectiveness of our proposed DTD method. We used AEC based on NLMS algorithm controlled by the step-size μ=0.9 and ε=2.2204×10 -16 where the length of the adaptive filter is L=1024 equals to the length of the acoustic echo path (car cockpit impulse response sampled at 16 kHz) [22]. We use also speech signals for simulating the far-end and the near-end speakers which are sampled at 16 kHz.…”

Section: Expirement and Resultsmentioning

confidence: 99%

“…We use also speech signals for simulating the far-end and the near-end speakers which are sampled at 16 kHz. Furthermore, we adopted the proposed structure in [22] which investigates insignificant samples of the received farend signal by creating a delay and adding a short period time of the AWGN. We take a period of delay td=125 ms with σ 2 =0.005 is the variance value of AWGN.…”

Section: Expirement and Resultsmentioning

confidence: 99%

“…To avoid a false alarm declaration, especially in the beginning of the adaptive filtering process when the energy of the error signal is high, we combine the proposed DTD with the structure of AEC proposed in our previous work [22]. Figure 3 shows the structure of the proposed DTD, the main objective behind this structure is to accelerate the convergence speed of the adaptive filtering algorithm and reduce the steadystate error.…”

Section: Proposed Methods Of Dtdmentioning

confidence: 99%

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A New Fast Double-Talk Detector Based on the Error Variance for Acoustic Echo Cancellation

Hamidia¹,

Amrouche²

2023

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In order to improve the speech quality in communication systems, acoustic echo cancellation techniques are commonly used to mitigate the deleterious effect of acoustic feedback. In fact, double-talk situations hinder the performance of acoustic echo cancellation when the two speakers in the two ends talk simultaneously. For this reason, double-talk detection is included to control the echo canceler system. In this paper we proposed a new method of double-talk detection based on the error signal variance. Opposed to the previous works where the most of the existing methods are based on a comparison between the received farend and the microphone observation signals, we accurately account for the variation of the error signal. To evaluate the proposed method, we used acoustic echo cancellation based on the normalized least mean square algorithm. Simulation results indicate the good performance of the proposed double-talk detector.

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Section: Expirement and Resultsmentioning

confidence: 99%

Section: Expirement and Resultsmentioning

confidence: 99%

Section: Proposed Methods Of Dtdmentioning

confidence: 99%

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