• P-ISSN 0974-6846 E-ISSN 0974-5645

Indian Journal of Science and Technology


Indian Journal of Science and Technology

Year: 2020, Volume: 13, Issue: 48, Pages: 4654-4660

Original Article

Novel algorithm for auditory compensation in hearing aids

Received Date:28 November 2020, Accepted Date:04 December 2020, Published Date:30 December 2020


Background: Auditory Compensation is the primary block of the hearing aid to compensate the loss in the hearing. The amount of amplification required for a patient is provided by the audiologist in the audiogram. Audiogram is a graph indicating the loss in hearing with respect to frequency. Most of the hearing aids available in the market are developed using filter bank method to divide the signal into various bands and then amplify the signal. Key aspects while designing the auditory compensation block are power dissipation, group delay by the filters, signal attenuation and reconstructing the signal. Objectives: The work here targets to design and develop a novel algorithm for low power implementation of auditory compensation block with the help of Short Time Fourier Transform (STFT). Methods: The algorithm is employed to determine the frequency range of audio signal using STFT which is to be selectively amplified as per the audiogram. Verilog language is used to implement the design. The complete ASIC flow up to generation of Graphic Data System (GDSII) files is carried out. Findings: The algorithm implements the auditory compensation block of the hearing aid successfully with low power consumption and increasing the intelligibility of the speech by solving issues present in the existing filter bank approach. Novelty: Presently Filter banks are used to perform auditory compensation; the work carried out is using STFT which is the novelty of the work.

Keywords: Hearing loss; hearing aid; audiogram; auditory compensation; STFT


  1. Lunner T. A digital filterbank hearing aid-Design, implementation and evaluation. Acoustics, Speech, and Signal Processing. 1991. Available from: https:doi.org/10.1109/ICASSP.1991.151068
  2. Li M, McAllister HG, Black ND, Perez TAD. Wavelet-based nonlinear AGC method for hearing aid loudness compensation. IEE Proceedings - Vision, Image, and Signal Processing. 2000;147(6):502. Available from: https://dx.doi.org/10.1049/ip-vis:20000631
  3. Chong KS, Gwee BH, Chang JS. A 16-Channel Low-Power Nonuniform Spaced Filter Bank Core for Digital Hearing Aids. IEEE Transactions on Circuits and Systems II: Express Briefs. 2006;53(9):853–857. Available from: https://dx.doi.org/10.1109/tcsii.2006.881821
  4. Nielsen LS, Sparso J. Designing asynchronous circuits for low power: an IFIR filter bank for a digital hearing aid. Proceedings of the IEEE. 1999;87(2):268–281. Available from: https://dx.doi.org/10.1109/5.740020
  5. Liu CW, Chang MH, Chuang CH, Lin. 10ms 18 band quasi-ANSI S1.11, 1/3 octave filter bank for digital hearing aids. IEEE Trans Circuits Syst. 2013. Available from: https://doi.org/10.1109/TCSI.2012.2209731
  6. Krawczyk M, Gerkmann T. STFT Phase Reconstruction in Voiced Speech for an Improved Single-Channel Speech Enhancement. IEEE/ACM Transactions on Audio, Speech, and Language Processing. 2014;22(12):1931–1940. Available from: https://dx.doi.org/10.1109/taslp.2014.2354236
  7. Girisha GK, Pinjare SL. STFT Algorithm for Implementation of Auditory Compensation in Hearing Aids. International Journal of Advanced Research in Engineering and Technology (IJARET). 2020;11(8):602–608. Available from: https://doi.org/10.34218/IJARET.11.8.2020.059


© 2020 Girisha & Pinjare.This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Published By Indian Society for Education and Environment (iSee)


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