Performance analysis of under-modelling stereophonic acoustic echo cancellation by adaptive filtering LMS algorithm

Djendi, Mohamed; Bounif, Aouda

doi:10.1016/j.compeleceng.2012.06.008

Cited by 4 publications

(2 citation statements)

References 21 publications

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“…This result confirms the good performance of the proposed Algorithm 1 and 2CSFTF1 in SAEC applications. From these two experiences presented earlier, we have shown experimentally that in real situations, that is, when the adaptive filters h v1 L;t and h v2 L;t are of finite lengths and when there are non-zero uncorrelated noisy components b v1 and b v2 in the input signals s v1 L;t and s v2 L;t , [see [50,51] 296 M. DJENDI for more details about these type of noise components], the true impulse responses w v1 L;t and w v2 L;t (see Figure 1) can be identified, and that the adaptive filters do converge toward this true solution in the MSE sense.…”

Section: Tracking Capability Evaluation Of the Proposed Algorithmmentioning

confidence: 96%

New efficient adaptive fast transversal filtering (FTF)‐type algorithms for mono and stereophonic acoustic echo cancelation

Djendi

2014

Adaptive Control & Signal

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This paper addresses the field of stereophonic acoustic echo cancelation (SAEC) by adaptive filtering algorithms. Recently, simplified versions of the fast transversal filter (SFTF)-type algorithm has been proposed. In this paper, we propose two major contributions. In the first contribution, we propose two new FTF-type algorithms with low complexity and good convergence speed characteristics. These two proposed algorithms are mainly on the basis of a forward prediction scheme to estimate the so called dual Kalman gain, which is inherent in the filtering part update. This computation complexity is achieved by the introduction of new relations for the computation of the likelihood variables that are simple and lead to further simplifications on the prediction part of the two proposed algorithms. In the second contribution, we propose to adapt then apply these four new SFTF-type algorithms, (the two proposed algorithms in this paper and their original versions) in the SAEC applications. A fair comparison of the proposed algorithms with the original SFTF and the normalized least mean square algorithms, in mono and SAEC applications, is presented. Copyright 274 M. DJENDI Recently, a different approach for the SAEC problems (inter-channel coherence, adaptive filter lengths, etc.) was proposed in [18,19] by using the widely linear model, which is assigned to the processing of noncircular complex valued signals. A new hybrid solution to the same problem that uses frequency shifts to improve the performance of the state-of-art solution based on addition of half-wave rectified signals is presented in [20]. The authors in [21] proposed a windowing frequency domain adaptive filter, and an up-sampling block transforms preprocessing, to solve these constraints. The proposed adaptive filter uses windowing functions with smooth cutoff property to reduce the spectral leakage during filter updating, so the utilization of the independent noise introduced by preprocessing in SAEC can be increased. The proposed preprocessing is operated in short blocks with low processing delay, and it uses frequency-domain up-sampling to meet the minimal block length requirement given by the band limit of simultaneous masking. Another very recent and novel approach to SAEC is proposed in [22] and based on a combination of psychoacoustic effects. The principle of the proposed structure is to use an approach based on the 'missing-fundamental' phenomenon at low frequencies (below 500 Hz) and a modified phase modulation approach at higher frequencies.A basic scheme for SAEC is given in Figure 1, where we illustrate the concept with a transmission room on the left and a receiving room on the right [16,17,23,24]. In Figure 1, when we generate a signal in the transmission room, the two microphones mic 1 and mic 2 receive two sorts of signals: (i) the direct source signal modified by the path g 1 (then received by mic 1 / and g 2 (then received by mic 2 /, respectively, and (ii) the existing diffuse noises n 1 and n 2 in the transmission room and received ...

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Section: Tracking Capability Evaluation Of the Proposed Algorithmmentioning

confidence: 96%

New efficient adaptive fast transversal filtering (FTF)‐type algorithms for mono and stereophonic acoustic echo cancelation

Djendi

2014

Adaptive Control & Signal

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“…The adaptive echo cancellation algorithm has been widely studied because of its good adaptability to the environment. Typical algorithms are the least mean square (LMS) algorithm and its improved version , the gradient projection algorithm , the affine algorithm , the Kalman filter algorithm , etc. .…”

Section: Introductionmentioning

confidence: 99%

A joint echo cancellation algorithm for quick suppression of howls in hearing aids

Liang

Wang

et al. 2017

IEEJ Transactions Elec Engng

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When the echo path of a hearing aid suddenly changes, howls easily occur. To quickly suppress the howls, a joint echo cancellation (JEC) algorithm, which combines the variable step normalized least mean square (VNLMS) algorithm with the notch filter algorithm, is proposed. According to whether the hearing aid howls or not, different strategies are used. First, when there are no howls, the echo signal is estimated using VNLMS and the step factor is computed according to three types of filter states, which are defined based on the normalized distance between the short-term average and the long-term average of the filter coefficients. Then, different step factors are used for different states. Second, when there are howls, the update of VNLMS is frozen to stabilize the howl frequency. To improve the detection accuracy, a howling detection algorithm based on the zoom-fast Fourier transformation (ZoomFFT) is proposed. The ZoomFFT algorithm can analyze the spectrum of a narrowband signal in a specified high sampling frequency. Then, the notch filters based on the estimated howl frequencies are dynamically generated to restrain the howls. Finally, when the howls are suppressed, VNLMS is reactivated. Compared to other echo cancellation algorithms, the proposed algorithm can quickly suppress the howls, and JEC has the best comprehensive performance. Furthermore, the quality of the processed speech is high, and the operation time is short. Thus, the proposed algorithm is suitable for low-power-consumption and small-volume products such as hearing aids.

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Convergence Analysis for an Undermodelled Variable Tap-Length MSF-Based Stereophonic Acoustic Echo Canceller

Vanamadi

Kar

2022

Circuits Syst Signal Process

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Performance analysis of under-modelling stereophonic acoustic echo cancellation by adaptive filtering LMS algorithm

Cited by 4 publications

References 21 publications

New efficient adaptive fast transversal filtering (FTF)‐type algorithms for mono and stereophonic acoustic echo cancelation

New efficient adaptive fast transversal filtering (FTF)‐type algorithms for mono and stereophonic acoustic echo cancelation

A joint echo cancellation algorithm for quick suppression of howls in hearing aids

Convergence Analysis for an Undermodelled Variable Tap-Length MSF-Based Stereophonic Acoustic Echo Canceller

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