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Lattice adaptive filtering-based method for acoustic feedback cancellation in hearing aids with robustness against sudden changes in the feedback path

机译:基于晶格自适应滤波的助听器声反馈消除方法,具有抵抗反馈路径突然变化的鲁棒性

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This paper proposes a new method for continuous acoustic adaptive feedback cancelation (AFC) in digital hearing aids. The proposed method employs two adaptive filters working in tandem. The first adaptive filter is excited by the receiver (output) signal of the hearing aid, and uses microphone signal as its desired response. The lattice-predictor based adaptive algorithm is used to updated the coefficients of the first adaptive filter. The second adaptive filter is excited by a (random) probe signal. We propose coefficient monitoring strategy with two fold objectives: 1) both adaptive filters converge to a good estimate of the acoustic feedback path, and that 2) both adaptive filter are re-initialized when a sudden change in the acoustic feedback path is detected. Finally, the injected probe noise is controlled via time-varying gain in such a way that a low level noise is used when the system is operating in its steady state. Simulation results demonstrate that the proposed method achieves good modeling accuracy, preserves good speech quality, and provides robust performance for the sudden changes in acoustic feedback path.
机译:本文提出了一种用于数字助听器的连续声学自适应反馈消除(AFC)的新方法。所提出的方法采用两个串联工作的自适应滤波器。第一自适应滤波器被助听器的接收器(输出)信号激励,并且使用麦克风信号作为其期望的响应。基于晶格预测器的自适应算法用于更新第一自适应滤波器的系数。第二个自适应滤波器由一个(随机)探测信号激励。我们提出具有两个目标的系数监视策略:1)两个自适应滤波器都收敛到对声反馈路径的良好估计,以及2)当检测到声反馈路径的突然变化时,两个自适应滤波器都将重新初始化。最后,通过随时间变化的增益来控制注入的探头噪声,以使系统在稳定状态下运行时可以使用低电平噪声。仿真结果表明,该方法具有良好的建模精度,可以保持良好的语音质量,并为声学反馈路径的突然变化提供了鲁棒的性能。

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