An Efficient Delayless Sub-band Filtering for Adaptive Feedback Compensation in Hearing Aid

Khoubrouy, Soudeh A.; Panahi, Issa

doi:10.1007/s11265-015-1028-y

Cited by 5 publications

(2 citation statements)

References 17 publications

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“…The masking filters are either interpolated half-band filters or halfband filters according to the requirement. Interpolation of filters is performed by replacing each delay elements with a number of delay elements that is equal to the interpolation factor [16], [17]. Figure 6 shows the amplitude response of odd channels.…”

Section: Linear Phase Fir Filter Bank Based On Phase Half Band Filtersmentioning

confidence: 99%

Efficient uniform digital filter bank with linear phase and FRM technique for hearing aids

Parameshappa¹,

Jayadevapp²

2018

IJET

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This paper attempts to present an uniform digital filter bank based on linear phase FIR and IIR filters applied for Frequency Response Masking (FRM) technique in hearing aid applications.In the proposed filter bank, nine uniformly spaced sub-bands are formed with the help of half band filters and masking filters. These nine channel FIR filter bank is realized using an interpolated half band linear phase FIR filter and an appropriate number of masking FIR filters. The nine channel IIR filter bank is realized using an interpolated half band approximately linear phase IIR filter and an appropriate number of masking filters. The proposed approximately linear phase IIR half band filter bank is compared with filter bank based on linear phase FIR half band filters in terms of area, power, memory and number of gates needed for implementation. The experiment was carried on various hearing loss cases and the results obtained from these tests proves that, the proposed filter bank achieved the required matching between audiograms and magnitude response of the filter bank at very reasonable range with less computational complexity.

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Section: Linear Phase Fir Filter Bank Based On Phase Half Band Filtersmentioning

confidence: 99%

Efficient uniform digital filter bank with linear phase and FRM technique for hearing aids

Parameshappa¹,

Jayadevapp²

2018

IJET

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“…In this method, the input signals of an adaptive filter were pre-whitened by using prefilters, resulting in lower correlation and so bias. Other methods employing sub-band techniques [25][26][27][28], multiple microphones [19,[29][30][31][32][33][34], fast-converging adaptive filtering algorithms [14,15,17,32,[35][36][37], affine combination of filters [23], and variable step-size (VSS) [11,[38][39][40] or combinations of those techniques [31,41,42] for AFC also yielded performance improvement. In [43], an AFC approach based on decomposing a long adaptive filter into a Kronecker Product of two shorter filters has been proposed.…”

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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Review on Recent Advances in Hearing Aids: A Signal Processing Perspective

Devi

VASUNDHARA

2023

Proceedings of the International Conference on Paradigms of Computing, Communication and Data Sciences

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An Efficient Delayless Sub-band Filtering for Adaptive Feedback Compensation in Hearing Aid

Cited by 5 publications

References 17 publications

Efficient uniform digital filter bank with linear phase and FRM technique for hearing aids

Efficient uniform digital filter bank with linear phase and FRM technique for hearing aids

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

Review on Recent Advances in Hearing Aids: A Signal Processing Perspective

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