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Linguistic Effects Based Novel Filter for Hearing Aid to Deliver Natural Sound and Speech Clarity in Universal Environment

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Abstract

This paper presents a novel filter for hearing aid to improve the speech clarity and to deliver natural sound in universal environment existing aids cannot achieve reconfigurability to improve the performance of hearing aid. The sound pressure level changes in universal environment with reverberation due to external noise and linguistic effect in turn affects the speech perception. The external noise such as wind, impulse and background noise reduce with existing hearing aid filter. The linguistic effect such as syllable, phonemic, long distance co articulation and vocal effects needs a filter based on the frequency and magnitude of the effects, to deliver the sound with clarity and natural sound. In this article, we propose Frequency Range based Reconfigurable (FRR) Filter bank for hearing aid to improve the speech intelligibility. The FRR filter bank consists of dyadic wavelet, RLS, ISTFT, 1-D Lifting wavelet filters. Each filter in the bank reconfigure swiftly according to sound pressure level in universal environment with reverberation. From the results of 50 samples, we obtain a better speech sound with speech clarity and natural sound of about 95 % when compared with the existing hearing aid speech sound. Experimental results are validated.

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References

  1. www.beltone.com/hearing-health/hearing-aids-parts.aspx.

  2. Kuo, Y.-T., et al. (2010). Design and implementation of low-power ANSI S1. 11 filter bank for digital hearing aids. IEEE Transactions on Circuits and Systems I: Regular Papers, 57(7), 1684–1696.

    Article  MathSciNet  Google Scholar 

  3. Hamacher, V. Algorithms for future commercial hearing aids. In Proceedings of 5th international conference on acoustics (ICA’04), (Vol. 2, pp. 1385–1388), Kyoto, Japan.

  4. Brennan, R., & Schneider, T. A flexible filter bank structure for extensive signal manipulations in digital hearing aids.

  5. www.intricon.com/assets/documents/…/Overtus_ProductFeatures.pdf.

  6. Yang, C-Y., Liu, C-W., & Jou, S-J. (2014). An efficient 18-band quasi-ANSI 1/3-octave filter bank using re-sampling method for digital hearing aids. In 2014 IEEE international conference on acoustics, speech and signal processing (ICASSP), IEEE.

  7. Wei; Y., & Lian, Y. (2004). A computationally efficient non-uniform digital FIR filter bank for hearing aid. In 2004 IEEE international workshop on biomedical circuits and systems, pp. S1/3/INV–S1/17-20.

  8. Guo, M., Jensen, S. H., & Jensen, J. (2012). Novel acoustic feedback cancellation approaches in hearing aid applications using probe noise and probe noise enhancement. IEEE Transactions on Audio, Speech, and Language Processing, 20(9), 2549–2563.

    Article  Google Scholar 

  9. Ladefoged, P., McKinney, N. P. (1963). Loudness, sound pressure, and subglottal pressure in speech. The Journal of the Acoustical Society of America, 35(4), 454–460.

  10. Eriksson, A., & Traunmüller, H. (2002). Perception of vocal effort and distance from the speaker on the basis of vowel utterances. Perception & Psychophysics, 64(1), 131–139.

    Article  Google Scholar 

  11. Subbulakshmi, N., & Manimegalai, R. (2014). A survey of filter bank algorithms for biomedical applications. In 2014 International conference on computer communication and informatics (ICCCI), pp. 1–5.

  12. Smith, S. W. (1997). The scientist and engineer’s guide to digital signal processing.

  13. Bauml, R. W. (2008). Uniform polyphase filter banks for use in hearing aids: Design and constraints. In Proceedings of European Signal Processing Conference (EUSIPCO’08).

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Authors and Affiliations

  1. Sathyabama University, Chennai, India

    Perumal Kalpana Devi

  2. Anna University, Chennai, India

    Raghuvel Subramanian Bhuvaneswaran

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  1. Perumal Kalpana Devi
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  2. Raghuvel Subramanian Bhuvaneswaran
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Correspondence to Perumal Kalpana Devi.

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Devi, P.K., Bhuvaneswaran, R.S. Linguistic Effects Based Novel Filter for Hearing Aid to Deliver Natural Sound and Speech Clarity in Universal Environment. Wireless Pers Commun 94, 1223–1236 (2017). https://doi.org/10.1007/s11277-016-3678-x

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  • DOI: https://doi.org/10.1007/s11277-016-3678-x

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