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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.

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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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