Journal ArticleDOI
Feedback cancellation in hearing aids: results from a computer simulation
TLDR
The feedback-cancellation system described updates the estimated feedback path whenever changes are detected in the feedback behavior, and a least-mean square adaptive filter and a Wiener filter are investigated for computing the filter coefficients.Abstract:
Feedback cancellation in hearing aids involves estimating the feedback signal and subtracting it from the microphone input signal. The feedback-cancellation system described updates the estimated feedback path whenever changes are detected in the feedback behavior. When a change is detected, the normal hearing-aid processing is interrupted, a pseudorandom probe signal is injected into the system, and a set of filter coefficients is adjusted to give an estimate of the feedback path. The hearing aid is then returned to normal operation with the feedback-cancellation filter as part of the system. Two approaches are investigated for computing the filter coefficients: a least-mean square (LMS) adaptive filter and a Wiener filter. Test results are presented for a computer simulation of an in-the-ear (ITE) hearing aid. The simulation results indicate that more than 10 dB of cancellation can be obtained and that the Wiener filter is more effective in the presence of strong interference. >read more
Citations
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Proceedings ArticleDOI
Steady-state analysis of continuous adaptation systems in hearing aids
TL;DR: In this article, the steady-state convergence behavior of LMS-based adaptive algorithms when operating in continuous adaptation to reduce acoustic feedback is analyzed. But the LMS algorithm is not suitable for hearing aids that contain a substantial amount of gain, and hearing aids are used in conjunction with vented or open molds, and in the ear hearing aids.
Book ChapterDOI
An efficient feedback canceler for hearing aids based on approximated affine projection
TL;DR: A new adaptive feedback cancelation algorithm that can achieve fast convergence by approximating the affine projection (AP) algorithm and prevent signal cancelation by controlling the step-size is proposed.
Proceedings ArticleDOI
Acoustic feedback reduction based on Filtered-X LMS and Normalized Filtered-X LMS algorithms in digital hearing aids based on WOLA filterbank
TL;DR: The results show how the digital hearing aid working with a feedback reduction adaptive filter adapted with the NFXLMS algorithm is able to achieve up to 18 dB of increase over the limit gain.
Journal ArticleDOI
Control of feedback in hearing aids-a robust filter design approach
TL;DR: A bound on the variability of the feedback path is employed in the design of fixed FIR hearing aid filters that are robust to the specified variability, thus avoiding instability and howling in everyday use.
Journal ArticleDOI
Influence of acoustic feedback on the learning strategies of neural network-based sound classifiers in digital hearing aids
TL;DR: The proposed methods assist the neural network-based classifier in reducing its error probability in more than 18%.
References
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TL;DR: It is shown that for stationary inputs the LMS adaptive algorithm, based on the method of steepest descent, approaches the theoretical limit of efficiency in terms of misadjustment and speed of adaptation when the eigenvalues of the input correlation matrix are equal or close in value.
Journal ArticleDOI
The Intelligibility of Interrupted Speech
TL;DR: In this paper, the effect of intermittent interruptions of the speech wave upon intelligibility as measured by word articulation tests was investigated, and the results showed that the effects of irregular interruptions on intelligibility were similar to those of regular interruptions.
Journal ArticleDOI
A minimal parameter adaptive notch filter with constrained poles and zeros
TL;DR: A new algorithm is presented for adaptive notch filtering and parametric spectral estimation of multiple narrow-band or sine wave signals in an additive broad-band process and uses a special constrained model of infinite impulse response with a minimal number of parameters.
Related Papers (5)
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