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
More filters
PatentDOI
Hearing aid device incorporating signal processing techniques
TL;DR: In this paper, a hearing compensation system for the hearing impaired comprises a plurality of bandpass filters having an input connected to an input transducer and each bandpass filter having an output connected to the input of one of a multiplicative AGC circuits.
PatentDOI
Feedback cancellation improvements
James M. Kates,John L. Melanson +1 more
TL;DR: In this article, a cascade of two filters along with a short bulk delay is used to adjust the filter response to make the most effective use of the limited number of filter coefficients.
Journal ArticleDOI
Reducing acoustic feedback in hearing aids
J.A. Maxwell,Patrick M. Zurek +1 more
TL;DR: Five techniques for reducing acoustic feedback in hearing aids were investigated and a novel method for feedback cancellation with adaptation with adaptation during quiet intervals showed the novel system to provide the best overall performance.
Journal ArticleDOI
Adaptive feedback cancellation in hearing aids with linear prediction of the desired signal
TL;DR: Adaptive feedback cancellation techniques that are based on a closed-loop identification of the feedback path as well as the (auto-regressive) modeling of the desired signal are proposed.
Journal ArticleDOI
Steady-state analysis of continuous adaptation in acoustic feedback reduction systems for hearing-aids
M.G. Siqueira,Abeer Alwan +1 more
TL;DR: Analysis of the steady-state convergence behavior of LMS-based adaptive algorithms when used in continuous adaptation to reduce acoustic feedback shows that by the use of a delay in the forward or cancellation paths of the hearing aid plant, it is possible to reduce this bias by more than 15 dB.
References
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Journal ArticleDOI
Adaptive noise cancelling: Principles and applications
Bernard Widrow,J.R. Glover,John M. McCool,J. Kaunitz,C.S. Williams,R.H. Hearn,James R. Zeidler,Jr. Eugene Dong,R.C. Goodlin +8 more
TL;DR: It is shown that in treating periodic interference the adaptive noise canceller acts as a notch filter with narrow bandwidth, infinite null, and the capability of tracking the exact frequency of the interference; in this case the canceller behaves as a linear, time-invariant system, with the adaptive filter converging on a dynamic rather than a static solution.
Book
An introduction to the theory of random signals and noise
TL;DR: The aim of this book is to clarify the role of noise in the development of linear and nonlinear systems and to provide a procedure forormalising the noise generated by these systems.
Book ChapterDOI
Stationary and nonstationary learning characteristics of the LMS adaptive filter
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.
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