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Efficient low delay reconfigurable filter bank using parallel structure for hearing aid applications with IoT

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Abstract

Reconfigurable filter banks are mostly used in hearing aid applications to divide the input audio signal into bands and subbands. In this paper, we are proposing to implement a new reconfigurable filter bank using a parallel structure to reduce the delay. In the existing method of the reconfigurable filter bank, band division is performed one after another by sharing the resources. Instead, the proposed parallel structure reduces the overall delay in the filter bank by performing reconfigurability in parallel for each subband. The FIR filters in the proposed structure are implemented using the Taylor window, which gives better attenuation with the lower order. The implemented structure is tested with five audiograms having mild hearing loss at low frequency, mild hearing loss at middle frequency, moderate hearing loss at high frequency, mild hearing loss at high frequency, and mild conductive hearing loss. From the results, it is clear that the proposed structure performs better in terms of delay except for two cases. However, the delay is less than 10 ms for that two cases and the matching error is improved. Delay is reduced with a minute increase in matching error that to in two cases, audiogram with mild hearing loss at high frequency and mild conductive hearing loss. The proposed filter bank structure can satisfy different requirements of hearing loss cases with acceptable delay. In the proposed hearing aid, Internet of Things is used to select the number of subbands in each band and to communicate the gain values to the hearing aid through a mobile application.

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References

  1. Amir A, Bindiya T, Elias E (2018) Design and implementation of reconfigurable filter bank structure for low complexity hearing aids using 2-level sound wave decomposition. Biomed Sig Process Control 43:96–109

    Article  Google Scholar 

  2. Amir A, Bindiya T, Elias E (2019) Low-complexity implementation of efficient reconfigurable structure for cost-effective hearing aids using fractional interpolation. Comput Electr Eng 74:391–412. https://doi.org/10.1016/j.compeleceng.2019.02.008

    Article  Google Scholar 

  3. Amir A, Inani R, Elias E, et al. (2016) Reconfigurable low complexity hearing aid system using adjustable filter bank. In: IEEE region 10 conference (TENCON). https://doi.org/10.1109/TENCON.2016.7848526. IEEE, pp 2684–2688

  4. Kumar A, Patil BN, Gajdhane V (2018) Designing of filters using windowing technique and performance comparison with a new proposed window function. Int J Curr Engi Sci Res (IJCESR) 5(2):19–26

    Google Scholar 

  5. Anjali A, Shrivastav MTK (2020) Reconfigurable filter bank design techniques for hearing aid performance improvement. Int J Recent Technol Eng (IJRTE) 8(6):37–46. https://doi.org/10.35940/ijrte.F7127.038620

    Article  Google Scholar 

  6. Balling LW, Townend O, Stiefenhofer G, Switalski W (2020) Reducing hearing aid delay for optimal sound quality: a new paradigm in processing. Hear Rev 27(4):20–6

    Google Scholar 

  7. Deng TB (2010) Three-channel variable filter-bank for digital hearing aids. IET Sig Process 4(2):181–196. https://doi.org/10.1049/iet-spr.2008.0164

    Article  Google Scholar 

  8. Dillon H (2012) Hearing aids, 2nd edn. Thieme Medical Publishers, New York

    Google Scholar 

  9. Elias E, George JT (2014) A 16-band reconfigurable hearing aid using variable bandwidth filters. Global Journal of Research In Engineering

  10. Kurrey R (2017) Optimal design of low pass filter by parzen, taylor and hamming technique. Int J Res Appl Sci Eng Technol pp 271–281. https://doi.org/10.22214/ijraset.2017.2042

  11. Li H, Jullien G, Dimitrov V, Ahmadi M, Miller W (2002) A 2-digit multidimensional logarithmic number system filterbank for a digital hearing aidarchitecture. In: 2002 IEEE international symposium on circuits and systems, Proceedings (Cat. No. 02CH37353), vol 2. IEEE, pp II–II. https://doi.org/10.1109/ISCAS.2002.1011464

  12. Lian Y, Wei Y (2005) A computationally efficient nonuniform fir digital filter bank for hearing aids. IEEE Trans Circ Syst I Regular Pap 52(12):2754–2762. https://doi.org/10.1109/TCSI.2005.857871

    Article  Google Scholar 

  13. Lim Y (1986) A digital filter bank for digital audio systems. IEEE Trans Circ Syst 33(8):848–849. https://doi.org/10.1109/TCS.1986.1085988

    Article  Google Scholar 

  14. Lunner T, Hellgren J (1991) A digital filterbank hearing aid-design, implementation and evaluation. In: ICASSP 91: 1991 international conference on acoustics, speech, and signal processing. IEEE, pp 3661–3664. https://doi.org/10.1109/ICASSP.1991.151068

  15. Nema SK, Pathak MA (2016) Fir filter bank design for audiogram matching. Int Res J Eng Technol (IRJET) 3(12):409–414

    Google Scholar 

  16. Onat E, Ahmadi M, Jullien G, Miller W (2000) Optimized delay characteristics for a hearing instrument filter bank. In: 43rd IEEE midwest symposium on circuits and systems (Cat. No. CH37144), vol 3. IEEE, pp 1074–1077. https://doi.org/10.1109/MWSCAS.2000.951401

  17. Philip SP, Palaniswami S, Sivakumar H (2020) A computationally efficient 11 band non-uniform filter bank for hearing aids targeting moderately sloping sensorineural hearing loss. Informacije MIDEM 50(3):153–168

    Google Scholar 

  18. Raj S, Shaji A (2016) Design and implementation of reconfigurable digital filter bank for hearing aid. In: 2016 International conference on emerging technological trends (ICETT). IEEE, pp 1–6. https://doi.org/10.1109/ICETT.2016.7873664

  19. Reshma A, Manuel M (2017) Reconfigurable digital fir filter bank for hearing aids using minimax algorithm. In: International conference on trends in electronics and informatics (ICEI). https://doi.org/10.1109/ICOEI.2017.8300815. IEEE, pp 803–808

  20. Sebastian A, Ragesh M, James T (2014) A low complex 10-band non-uniform fir digital filter bank using frequency response masking technique for hearing aid. In: 2014 first international conference on computational systems and communications (ICCSC). IEEE, pp 167–172. https://doi.org/10.1109/COMPSC.2014.7032641

  21. Raj Sneha, Shaji Athira (2016) Design of reconfigurable digital filter bank for hearing aid. Int J Sci Res (IJSR) 5(7):450–454

    Google Scholar 

  22. Sonawane M, Chougule MSR (2020) Study and analysis of audiogram matching for reconfigurable fir filter bank use in hearing aids. Int J Appl Eng Res 15(8):864–872

    Google Scholar 

  23. Swamy KA, Sushma C, Alex ZC, Prathima S (2021) A non-uniform digital filter bank hearing aid for aged people with hearing disability, advances in communications, signal processing, and VLSI. Lect Notes Electr Eng 722:179–197. https://doi.org/10.1007/978-981-33-4058-9_16

    Article  Google Scholar 

  24. Wei Y, Lian Y (2006) A 16-band nonuniform FIR digital filterbank for hearing aid. In: 2006 IEEE biomedical circuits and systems conference. IEEE, pp 186–189. https://doi.org/10.1109/BIOCAS.2006.4600339

  25. Wei Y, Lian Y (2004) A computationally efficient non-uniform digital fir filter bank for hearing aid. In: IEEE international workshop on biomedical circuits and systems, 2004. IEEE, pp S1–3. https://doi.org/10.1109/BIOCAS.2004.1454116

  26. Wei Y, Liu D (2011) A design of digital fir filter banks with adjustable subband distribution for hearing aids. In: 8th international conference on information, communications & signal processing. IEEE, pp 1–5. https://doi.org/10.1109/ICICS.2011.6173544

  27. Wei Y, Liu D (2013) A reconfigurable digital filterbank for hearing-aid systems with a variety of sound wave decomposition plans. IEEE Trans Biomed Eng 60(6):1628–1635. https://doi.org/10.1109/TBME.2013.2240681

    Article  Google Scholar 

  28. Wei Y, Wang Y (2015) Design of low complexity adjustable filter bank for personalized hearing aid solutions. IEEE/ACM Trans Audio Speech Lang Process 23(5):923–931. https://doi.org/10.1109/TASLP.2015.2409774

    Article  Google Scholar 

  29. Yang CZ, Lian Y (2003) A new digital filter bank for digital audio applications. In: 2003 Proceedings of the Seventh international symposium on signal processing and its applications, vol 2. IEEE, pp 267–270. https://doi.org/10.1109/ISSPA.2003.1224865

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Funding

The research leading to these results received funding from Science for Equity, Empowerment and Development Division under Technology Interventions for Disabled and Elderly (TIDE), Department of Science and Technology, Government of India under Grant Agreement No. SEED/TIDE/015/2017/G.

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All authors contributed to the study conception and design. Material preparation, data collection, and analysis were performed by K. Ayyappa Swamy. The first draft of the manuscript was written by K. Ayyappa Swamy and all authors commented on previous versions of the manuscript. All authors read and approved the final manuscript.

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Correspondence to Zachariah C. Alex.

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Swamy, K.A., Alex, Z.C. Efficient low delay reconfigurable filter bank using parallel structure for hearing aid applications with IoT. Pers Ubiquit Comput 27, 1381–1394 (2023). https://doi.org/10.1007/s00779-021-01600-w

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  • DOI: https://doi.org/10.1007/s00779-021-01600-w

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