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Acoustic feedback cancellation in hearing aids using dual adaptive filtering and gain-controlled probe signal

机译：使用双自适应滤波和增益控制的探针信号在助听器中取消声反馈取消

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摘要

In this paper, we propose a probe signal-based adaptive filtering method for acoustic feedback cancellation (AFC) in hearing aids. The proposed method consists of two adaptive filters. The first adaptive filter is excited by the receiver (loudspeaker) signal, and uses the microphone signal as its desired response. The first adaptive filter shows a fast convergence speed, however, it may converge to a biased solution at the steady-state because its input and desired response are correlated with each other. The second adaptive filter is excited by an internally generated (uncorrelated) probe signal. The two adaptive filters are adapted using a delay-based normalized least mean square (NLMS) algorithm. A strategy is devised to exchange the coefficients of two adaptive filters such that the both adaptive filters give a good (unbiased) estimate of the acoustic feedback path. Furthermore, we propose to vary the gain of the probe signal, such that a high level probe signal is injected during the transient state, and a low level probe signal is used after the AFC system has converged. The computer simulations demonstrate that the proposed method achieves good modeling accuracy, preserves good speech quality, and maintains high output SNR at the steady-state. (C) 2019 The Author(s). Published by Elsevier Ltd.
机译：在本文中，我们提出了一种基于探测信号的自适应滤波方法，用于助听器中的声反馈消除（AFC）。所提出的方法包括两个自适应滤波器。第一自适应滤波器由接收器（扬声器）信号激发，并使用麦克风信号作为期望响应。第一自适应滤波器显示出快速收敛速度，然而，它可能会聚到稳定状态下的偏置解，因为其输入和期望的响应彼此相关。第二自适应滤波器通过内部产生的（不相关的）探针信号激发。使用基于延迟的归一化最小均方（NLMS）算法来调整两个自适应滤波器。设计了一种策略，以交换两个自适应滤波器的系数，使得两个自适应滤波器给出了声反馈路径的良好（无偏见）估计。此外，我们建议改变探针信号的增益，使得在瞬态状态期间注入高电平探针信号，并且在AFC系统收敛之后使用低电平探针信号。计算机仿真表明，该方法实现了良好的建模精度，保持良好的语音质量，并在稳态保持高输出SNR。 （c）2019年作者。 elsevier有限公司出版

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