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A low-complexity 3-level filter bank design for effective restoration of audibility in digital hearing aids

A low-complexity 3-level filter bank design for effective restoration of audibility in digital... A low-complexity method for sub-band decomposition of audio signals in digital hearing aids for audibility restoration applications is described in this paper. This 3-level filter bank is capable of generating an array of 4, 8, and 16 sub-filters from a single finite impulse response filter. The prototype low pass filter is accomplished using the Parks McClellan algorithm with a minimal number of 28 multipliers. Fractional interpolation technique is utilized to generate more number of sub-bands with narrow bandwidth from the prototype filter. This filter bank can be used for patients with any degree of hearing impairment to compensate his audiogram. The selection of filter bank is based on the rate of change of impairment recorded in the audiogram. Apart from reduced complexity, the developed filter bank has the advantage of requiring only minimal hardware, which makes the implementation of cost-effective hearing aids a reality. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Biomedical Engineering Letters Springer Journals

A low-complexity 3-level filter bank design for effective restoration of audibility in digital hearing aids

Devis, Tomson; Manuel, Manju
Biomedical Engineering Letters , Volume 10 (4) – Nov 29, 2020
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References (22)

Publisher
Springer Journals
Copyright
Copyright © Korean Society of Medical and Biological Engineering 2020
ISSN
2093-9868
eISSN
2093-985X
DOI
10.1007/s13534-020-00167-4
Publisher site
See Article on Publisher Site

Abstract

A low-complexity method for sub-band decomposition of audio signals in digital hearing aids for audibility restoration applications is described in this paper. This 3-level filter bank is capable of generating an array of 4, 8, and 16 sub-filters from a single finite impulse response filter. The prototype low pass filter is accomplished using the Parks McClellan algorithm with a minimal number of 28 multipliers. Fractional interpolation technique is utilized to generate more number of sub-bands with narrow bandwidth from the prototype filter. This filter bank can be used for patients with any degree of hearing impairment to compensate his audiogram. The selection of filter bank is based on the rate of change of impairment recorded in the audiogram. Apart from reduced complexity, the developed filter bank has the advantage of requiring only minimal hardware, which makes the implementation of cost-effective hearing aids a reality.

Journal

Biomedical Engineering Letters – Springer Journals

Published: Nov 29, 2020

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