Stereophonic acoustic echo cancellation-an overview of the fundamental problem

Sondhi, M. M.; Morgan, D.R.; Hall, J. L.

doi:10.1109/97.404129

Cited by 235 publications

(139 citation statements)

References 4 publications

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“…Apart from large computational complexity, MAEC systems also suffer from other notable problems such as the misalignment problem [3,15,16]. Since in MAEC systems the different loudspeaker input signals are typically correlated with each other, the input covariance matrix may be ill-conditioned, possibly resulting in a large filter misalignment and a slow convergence speed.…”

Section: Introductionmentioning

confidence: 99%

“…Using this estimated echo path, an estimate of the acoustic echo signal is generated which is then subtracted from the microphone signal. When multiple loudspeakers are present, as is the case for surroundsound systems, Multichannel Acoustic Echo Cancellation (MAEC) systems are required [3][4][5][6]. These systems consist of multiple adaptive filters dedicated to estimate the acoustic echo paths between each loudspeaker and each microphone, i.e., one filter per channel.…”

Section: Introductionmentioning

confidence: 99%

“…It should be realized that the misalignment problem is typically more severe in the context of speech communication systems, since the loudspeaker signals are obtained by filtering the same source (far-end speaker), as compared to surround-sound systems, where the loudspeaker signals may be independent of each other. The most common approach to tackle the misalignment problem is to decorrelate the tap-inputs, for which several techniques have been proposed in literature [3,15,17]. Tap selection schemes such as the exclusive-maximum (XM) [18][19][20] have also been proposed to specifically tackle the misalignment problem for stereo AEC applications.…”

Section: Introductionmentioning

confidence: 99%

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Efficient multichannel acoustic echo cancellation using constrained tap selection schemes in the subband domain

Desiraju

Doclo

Wolff³

2017

EURASIP J. Adv. Signal Process.

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Acoustic echo cancellation (AEC) is a key speech enhancement technology in speech communication and voice-enabled devices. AEC systems employ adaptive filters to estimate the acoustic echo paths between the loudspeakers and the microphone(s). In applications involving surround sound, the computational complexity of an AEC system may become demanding due to the multiple loudspeaker channels and the necessity of using long filters in reverberant environments. In order to reduce the computational complexity, the approach of partially updating the AEC filters is considered in this paper. In particular, we investigate tap selection schemes which exploit the sparsity present in the loudspeaker channels for partially updating subband AEC filters. The potential for exploiting signal sparsity across three dimensions, namely time, frequency, and channels, is analyzed. A thorough analysis of different state-of-the-art tap selection schemes is performed and insights about their limitations are gained. A novel tap selection scheme is proposed which overcomes these limitations by exploiting signal sparsity while not ignoring any filters for update in the different subbands and channels. Extensive simulation results using both artificial as well as real-world multichannel signals show that the proposed tap selection scheme outperforms state-of-the-art tap selection schemes in terms of echo cancellation performance. In addition, it yields almost identical echo cancellation performance as compared to updating all filter taps at a significantly reduced computational cost.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Efficient multichannel acoustic echo cancellation using constrained tap selection schemes in the subband domain

Desiraju

Doclo

Wolff³

2017

EURASIP J. Adv. Signal Process.

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“…The estimated echo is subtracted from the microphone signal to cancel the echo [2][3][4]. The above adaptive filter fails in double talk situation where both the far-end and the near-end speech signals occur simultaneously.…”

Section: Introductionmentioning

confidence: 99%

Acoustic Echo Cancellation Using PEVD Based Adaptive Kalman Filter

Kothandaraman¹,

Pawani²,

Pachaiyappan³

et al. 2017

IJIES

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Abstract:In this paper a PEVD (Polynomial Eigen Value Decomposition) based adaptive kalman filter is proposed for Acoustic Echo Cancellation (AEC) in the presence of noise. Acoustic echo is the phenomenon when the speaker listens to his own voice after some delay while speaking to his fellow mate on a call. The presence of acoustic coupling between the loudspeakers and the near-end microphone signal produces an undesired acoustic echo, which reduces the speech quality. Existing AEC system implemented adaptive kalman filter which results in less output efficiency in the noisy environment. In the proposed method, the near end speech is separated from the acoustic echo as well as from the surrounding noise by using PEVD based adaptive kalman filter. Initially mixed microphone signal is pre-processed by Polynomial Eigen Value Decomposition which strongly de-correlates the signal and also de-correlates out the noise. The pre-processed signal is passed through adaptive kalman filter for estimation of the acoustic echo. The efficiency of the output is calculated using Echo Return Loss Enhancement (ERLE). If the ERLE lies in the range of 30-40 dB indicates the good echo cancellation. The simulations show that the proposed PEVD based adaptive kalman method provides higher cancellation of echo. The simulations are being carried out in Matlab 2016a.

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“…several basic methods of the echo cancellation with appropriate filtering can be found in [1,2], while further advanced solutions are presented in recent studies and patents (see, for example, [3][4][5]). While these methods offer sophisticated solutions, the simplest way to eliminate the problem when this kind of instability occurs in the case of spatially fixed microphones and loudspeakers is to reduce the gain at the amplifier, that is, to reduce the amplification of the signal.…”

mentioning

confidence: 99%

Delayed control of an elastic beam

Kidd

Stépàn

2014

Int. J. Dynam. Control

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Stabilization of longitudinal vibrations along an elastic beam with delayed feedback is analyzed. The beam is modeled as a series of equal masses connected by springs and dashpots. The degree of freedom (DoF) of the model is increased-first 1, then 3 and 9 DoF-with stability charts in terms of the gain and the time delay presented in each case for various levels of damping. With zero damping, for 9 DoF no stability region remains at all. Yet at the continuum case, when the partial delay differential equation is examined with zero damping, discrete stable intervals of gain are found at specific delay values. These intervals largely match the stability charts of the higher DoF models.

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Stereophonic acoustic echo cancellation-an overview of the fundamental problem

Cited by 235 publications

References 4 publications

Efficient multichannel acoustic echo cancellation using constrained tap selection schemes in the subband domain

Efficient multichannel acoustic echo cancellation using constrained tap selection schemes in the subband domain

Acoustic Echo Cancellation Using PEVD Based Adaptive Kalman Filter

Delayed control of an elastic beam

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