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

机译：使用双重自适应滤波和增益控制探头信号的助听器中的声学反馈消除

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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针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。第一自适应滤波器被接收器（扬声器）信号激励，并将麦克风信号用作其所需的响应。第一自适应滤波器显示出快速的收敛速度，但是，由于其输入和期望的响应彼此相关，因此它可以收敛到稳态下的偏置解。第二个自适应滤波器由内部生成的（不相关的）探测信号激励。使用基于延迟的归一化最小均方（NLMS）算法对两个自适应滤波器进行自适应。设计了一种策略来交换两个自适应滤波器的系数，以使两个自适应滤波器都能对声反馈路径进行良好（无偏）的估计。此外，我们建议改变探测信号的增益，以便在瞬态期间注入高电平探测信号，并在AFC系统收敛后使用低电平探测信号。计算机仿真表明，该方法具有良好的建模精度，可以保持良好的语音质量，并在稳态下保持较高的输出信噪比。 （C）2019作者。由Elsevier Ltd.发布

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