Abstract
Sense of hearing has paramount importance and its loss or impairment terribly disrupts the daily life Hearing aid system amplify the sound signals in a selective fashion to better match the hearing profile of hard of hearing individuals. The tremendous gap between the needy and real hearing aid users is the motivation for this research work. The Digital Filter bank residing within Hearing device needs to be made reconfigurable for better flexibility and customizable to suit the varying hearing needs of hearing impaired. Also, existing filter banks have higher delay, more matching error and power requirement. The paper proposes a Frequency Response Masking (FRM) based reconfigurable filter bank design optimized with a heuristic optimization algorithmThe proposed FRM filter model designed on MATLAB R2020b software improved audiogram matching by almost 60% and latency improvement in range 20–45% for all ranges of hearing loss including mild, severe, moderate and profound Hearing loss. The improved FRM filter-bank with better matching and reduced delay also provides varying sub-band distribution schemes making it reconfigurable and tailor made for changing requirements of hearing impaired. Thus the proposed work is a boon for hard of hearing patients and is a valuable contribution to society towards addressing one of the very prominent health issue named hearing impairment.
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This work is funded by Savitribai Phule Pune University under IQAC ASPIRE Research Mentorship Grant scheme
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Shrivastav, A., Kolte, M. (2022). Frequency Response Masking Based Reconfigurable Filter Bank for Hearing Aids. In: Bhalla, S., Bedekar, M., Phalnikar, R., Sirsikar, S. (eds) Proceeding of International Conference on Computational Science and Applications . Algorithms for Intelligent Systems. Springer, Singapore. https://doi.org/10.1007/978-981-19-0863-7_14
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DOI: https://doi.org/10.1007/978-981-19-0863-7_14
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