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An acoustic feedback canceler based on probe noise and informative data for hearing aids

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Abstract

One of the important issues encountered in acoustic feedback canceler (AFC) systems is the bias occurring in the estimation of the acoustic feedback (AF) path. In the literature, a common solution is to inject the probe noise into the loudspeaker to reduce the correlation between the input signal and the loudspeaker signal, that is, to remove the bias occurring in the estimation of the AF path. This approach significantly improves the performance of the AFC systems. However, when considering high filter orders and large-scale input signals, the AFC systems suffer from the data processing cost, and thus their real-time implementations on a chip generally become challenging. To this end, in this paper, we propose an AFC system using jointly probe noise and informative data, named the probe noise-online censoring-least mean square (PN-OC-LMS) based AFC. Thanks to both the OC mechanism and the probe noise injection approach, the proposed PN-OC-LMS-based AFC system not only significantly reduces the data processing cost but also effectively removes the bias effect in the AF path. The mentioned effectiveness of the proposed AFC system is supported by three comprehensive experiments on a real-world AF path measured from a behind-the-ear hearing aid. As a result, in the proposed AFC system, the use of both informative data and the injection of probe noise will enable the design of a long-term working wearable hearing aid that provides low data processing cost and correctly estimates the AF path.

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Availability of data and materials

The datasets generated during and/or analyzed during the current study are available from the corresponding author on reasonable request.

References

  1. Vanamadi, R., Kar, A.: Feedback cancellation in digital hearing aids using convex combination of proportionate adaptive algorithms. Appl. Acoust. 182, 108175 (2021)

    Article  Google Scholar 

  2. Siqueira, M.G., Alwan, A.: Steady-state analysis of continuous adaptation in acoustic feedback reduction systems for hearing-aids. IEEE Trans. Speech Audio Process. 8, 443–453 (2000)

    Article  Google Scholar 

  3. Bhattacharjee, S.S., Pradhan, S., George, N.V.: Design of a class of zero attraction based sparse adaptive feedback cancellers for assistive listening devices. Appl. Acoust. 173, 107683 (2021)

    Article  Google Scholar 

  4. Bustamante, D.K., Worrall, T.L., Williamson, M.J.: Measurement and adaptive suppression of acoustic feedback in hearing aids. ICASSP, IEEE Int. Conf. Acoust. Speech Signal Process. Proc. 3, 2017–2020 (1989)

    Google Scholar 

  5. Eren, Y., Çolak Güvenç, B., Mengüç, E.C.: Online censoring based acoustic feedback cancellation for wearable hearing aids. In: IEEE 30th Signal Processing and Communications Applications Conference (SIU), pp. 1–4 (5 2022)

  6. Waterschoot, T.V., Moonen, M.: Fifty years of acoustic feedback control: state of the art and future challenges. Proc. IEEE 99, 288–327 (2011)

    Article  Google Scholar 

  7. Patel, K., Panahi, I.M.: Efficient real-time acoustic feedback cancellation using adaptive noise injection algorithm. In: Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBS), vol. 2020-July, pp. 972–975 (7 2020)

  8. Pradhan, S., Patel, V., Patel, K., Maheshwari, J., George, N.V.: Acoustic feedback cancellation in digital hearing aids: a sparse adaptive filtering approach. Appl. Acoust. 122, 138–145 (2017)

    Article  Google Scholar 

  9. Guo, M., Jensen, S.H., Jensen, J.: Novel acoustic feedback cancellation approaches in hearing aid applications using probe noise and probe noise enhancement. IEEE Trans. Audio Speech Lang. Process. 20, 2549–2563 (2012)

    Article  Google Scholar 

  10. Nakagawa, C.R.C., Nordholm, S., Yan, W.-Y.: New insights into optimal acoustic feedback cancellation. IEEE Signal Process. Lett. 20, 869–872 (2013)

    Article  Google Scholar 

  11. Anand, A., Kar, A., Swamy, M.N.S.: Design and analysis of a BLPC vocoder-based adaptive feedback cancellation with probe noise. Appl. Acoust. 115, 196–208 (2017)

    Article  Google Scholar 

  12. Nakagawa, C.R.C., Nordholm, S., Yan, W.Y.: Feedback cancellation with probe shaping compensation. IEEE Signal Process. Lett. 21, 365–369 (2014)

    Article  Google Scholar 

  13. Guo, M., Elmedyb, T.B., Jensen, S.H., Jensen, J.: On acoustic feedback cancellation using probe noise in multiple-microphone and single-loudspeaker systems. IEEE Signal Process. Lett. 19, 283–286 (2012)

    Article  Google Scholar 

  14. Schroeder, M.R.: Improvement of acoustic-feedback stability by frequency shifting. J. Acoust. Soc. Am. 36, 1718–1724 (1964)

    Article  Google Scholar 

  15. Guo, M., Jensen, S.H., Jensen, J., Grant, S.L.: On the use of a phase modulation method for decorrelation in acoustic feedback cancellation. In: Proceedings of the 20th European Signal Processing Conference (EUSIPCO), pp. 2000–2004 (2012)

  16. Spriet, A., Proudler, I., Moonen, M., Wouters, J.: Adaptive feedback cancellation in hearing aids with linear prediction of the desired signal. IEEE Trans. Signal Process. 53(10), 3749–3763 (2005)

    Article  MathSciNet  Google Scholar 

  17. Thi, L., Tran, T., Nordholm, S.E.: A switched algorithm for adaptive feedback cancellation using pre-filters in hearing aids. Audiol. Res. 11, 389–409 (2021)

    Article  Google Scholar 

  18. Kates, J.: Feedback cancellation in hearing aids. In: Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing, pp. 1125–1128 (1990)

  19. Young Cheol, P., In Young, K., Sang Min, L.: An efficient adaptive feedback cancellation for hearing aids. In: Proceedings of the 25th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, vol. 2, pp. 1647–1650 (2003)

  20. Berdahl, E., Harris, D.: Frequency shifting for acoustic howling suppression. In: Proceedings of the 13th International Conference on Digital Audio Effects, vol. 610, Graz, Austria (2010)

  21. Guo, M.: Analysis, Design, and Evaluation of Acoustic Feedback Cancellation Systems for Hearing Aids:-A Novel Approach to Unbiased Feedback Cancellation. PhD thesis, Aalborg University (2012)

  22. Rabiner, L.R.: Digital Processing of Speech Signals. Pearson Education, London (1978)

    Google Scholar 

  23. Berberidis, D., Kekatos, V., Giannakis, G.B.: Online censoring for large-scale regressions with application to streaming big data. IEEE Trans. Signal Process. 64, 3854 (2016)

    Article  MathSciNet  Google Scholar 

  24. Diniz, P.S.: On data-selective adaptive filtering. IEEE Trans. Signal Process. 66, 4239–4252 (2018)

    Article  MathSciNet  Google Scholar 

  25. Çolak Güvenç, B., Eren, Y., Mengüç, E. C.: Novel online censoring based learning algorithm for complex-valued big data streams. In: IEEE 30th Signal Processing and Communications Applications Conference (SIU), pp. 1–4 (5 2022)

  26. Mengüç, E. C., Rezayi, N.: Estimation of pathological hand tremor signals by fourier linear combiner based online censoring LMS algorithm. In: IEEE 27th Signal Processing and Communications Applications Conference (SIU), pp. 1–4 (4 2019)

  27. Mengüç, E.C., Çınar, S., Xiang, M., Mandic, D.P.: Online censoring based weighted-frequency Fourier linear combiner for estimation of pathological hand tremors. IEEE Signal Process. Lett. 28, 1460–1464 (2021)

    Article  Google Scholar 

  28. Sarp, A.O., Mengüç, E.C., Peker, M., Çolak Güvenç, B.: Data-adaptive censoring for short-term wind speed predictors based on MLP, RNN, and SVM. IEEE Syst. J. 16, 3625–3634 (2022)

    Article  Google Scholar 

  29. Mengüç, E.C., Xiang, M., Mandic, D.P.: Online censoring based complex-valued adaptive filters. Signal Process. 200, 108638 (2022)

    Article  Google Scholar 

  30. Widrow, B., Stearns, S.D.: Adaptive Signal Processing. Prentice-Hall, Englewood Cliffs (1985)

    Google Scholar 

  31. Haykin, S.S.: Adaptive Filter Theory. Prentice-Hall, Upper Saddle River (2002)

    Google Scholar 

  32. Mengüç, E.C., Acır, N., Mandic, D.P.: A class of online censoring based quaternion-valued least mean square algorithms. IEEE Signal Process. Lett. 30, 244–248 (2023)

    Google Scholar 

  33. Spriet, A., Rombouts, G., Moonen, M., Wouters, J.: Adaptive feedback cancellation in hearing aids. J. Franklin Inst. 343(6), 545–573 (2006)

    Article  Google Scholar 

  34. Loizou, P.C.: Speech Enhancement: Theory and Practice, 1st edn. CRC Press, Boca Raton (2007)

    Book  Google Scholar 

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Funding

This work was supported by the Scientific Research Projects Coordination Unit of Kayseri University (Grant: FBA-2022-1094).

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Authors and Affiliations

  1. Department of Electrical and Electronics Engineering, Erciyes University, Kayseri, Turkey

    Yusuf Eren

  2. Department of Electrical and Electronics Engineering, Kayseri University, Kayseri, Turkey

    Buket Çolak Güvenç & Engin Cemal Mengüç

Authors
  1. Yusuf Eren
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  2. Buket Çolak Güvenç
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  3. Engin Cemal Mengüç
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Contributions

YE and BÇG did the analysis, software, and visualization. ECM wrote the main manuscript and managed the all work as the supervisor. All authors read and approved the final manuscript.

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Correspondence to Engin Cemal Mengüç.

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Eren, Y., Güvenç, B.Ç. & Mengüç, E.C. An acoustic feedback canceler based on probe noise and informative data for hearing aids. SIViP 18, 703–714 (2024). https://doi.org/10.1007/s11760-023-02786-7

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  • DOI: https://doi.org/10.1007/s11760-023-02786-7

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