A PEM-based frequency-domain Kalman filter for adaptive feedback cancellation

Bernardi, Giuliano; Waterschoot, Toon van; Wouters, Jan; Hillbmtt, Martin; Moonen, Marc

doi:10.1109/eusipco.2015.7362387

Cited by 16 publications

(4 citation statements)

References 6 publications

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“…To reduce this bias, multiple decorrelation methods have been investigated in literature, e.g., delay insertion [1,5], probe noise insertion [6][7][8][9], frequency shifting [10,11], phase modulation [12], and pre-whitening filters [13,14]. Among those methods, prediction error method based adaptive feedback cancellation (PEM-AFC) is well established as it can be effectively applied in both the time domain [14][15][16][17][18][19] and the frequency domain [2,[20][21][22][23][24]. In this method, the input signals of an adaptive filter were pre-whitened by using prefilters, resulting in lower correlation and so bias.…”

Section: Introductionmentioning

confidence: 99%

A Switched Algorithm for Adaptive Feedback Cancellation Using Pre-Filters in Hearing Aids

Tran¹,

Nordholm

2021

Audiology Research

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Acoustic coupling between microphone and loudspeaker is a significant problem in open-fit digital hearing aids. An open-fit compared to a close-fit hearing aid significantly lowers the signal quality and limits the achievable maximum stable gain. Adaptive feedback cancellation (AFC) enables an efficient approach to reduce the impact of acoustic coupling. However, without careful consideration, it can also introduce bias in estimating the feedback path due to the high correlation between the loudspeaker signal and the incoming signal, especially when the incoming signal is spectrally coloured, e.g., speech and music. The prediction error method (PEM) is well known for reducing this bias. The presented study aims to propose a switched PEM with soft-clipping (swPEMSC) that allows for further improvement in convergence/tracking rates, resulting in a better ability to recover from unstable/howling status. This swPEMSC employs a new update rule inspired by a soft-clipping based stability detector (SCSD). It allows to pick up either the PEMSC-NLMS or PEMSC-APA depending on the magnitude of the effective feedback signal; howling corresponds to a large feedback signal. The PEMSC-NLMS with a small step-size ensures a low steady-state error, but slow convergence/tracking rates, while PEMSC-APA with a large step-size allows for fast convergence/tracking rates, but a high steady-state error. By combining those approaches, the proposed approach can take advantage of good characteristics from both. Experimental results using different types of incoming signals and an abrupt change of feedback paths show that the swPEMSC can shorten unstable periods (howling) by improving the convergence and tracking rates while retaining a low steady-state error and good signal quality.

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Section: Introductionmentioning

confidence: 99%

A Switched Algorithm for Adaptive Feedback Cancellation Using Pre-Filters in Hearing Aids

Tran¹,

Nordholm

2021

Audiology Research

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“…A stochastic state-space model of the acoustic echo path has been derived by G. Enzner [10] and the corresponding frequencydomain Kalman filter (FKF) for acoustic echo cancellation is proposed. Subsequently, the FKF and its variations have been further developed and implemented in acoustic echo cancellation and many other fields [11]- [15].…”

Section: Introductionmentioning

confidence: 99%

Improving Partition-Block-Based Acoustic Echo Canceler in Under-Modeling Scenarios

Fan¹,

Lü²

2020

Interspeech 2020

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Recently, a partitioned-block-based frequency-domain Kalman filter (PFKF) has been proposed for acoustic echo cancellation. Compared with the normal frequency-domain Kalman filter, the PFKF utilizes the partitioned-block structure, resulting in both fast convergence and low time-latency. We present an analysis of the steady-state behavior of the PFKF and found that it suffers from a biased steady-state solution when the filter is of deficient length. Accordingly, we propose an effective modification that has the benefit of the guaranteed optimal steady-state behavior. Simulations are conducted to validate the improved performance of the proposed method.

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“…SD has been used to evaluate sound quality in different papers analyzing AFC algorithms, e. g. [16], [17], [18], [1], [60], based on the good correlation results between SD and MSG found in [16]. However, its performance has not yet been validated with sound quality subjective data.…”

Section: E Sdmentioning

confidence: 99%

Subjective and Objective Sound-Quality Evaluation of Adaptive Feedback Cancellation Algorithms

Bernardi

Waterschoot

Wouters

et al. 2018

IEEE/ACM Trans. Audio Speech Lang. Process.

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A PEM-based frequency-domain Kalman filter for adaptive feedback cancellation

Cited by 16 publications

References 6 publications

A Switched Algorithm for Adaptive Feedback Cancellation Using Pre-Filters in Hearing Aids

A Switched Algorithm for Adaptive Feedback Cancellation Using Pre-Filters in Hearing Aids

Improving Partition-Block-Based Acoustic Echo Canceler in Under-Modeling Scenarios

Subjective and Objective Sound-Quality Evaluation of Adaptive Feedback Cancellation Algorithms

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