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Adaptive Feedback Cancellation With Band-Limited LPC Vocoder in Digital Hearing Aids

机译:带限LPC声码器在数字助听器中的自适应反馈消除

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摘要

Feedback oscillation is one of the major issues with hearing aids. An effective way of feedback suppression is adaptive feedback cancellation, which uses an adaptive filter to estimate the feedback path. However, when the external input signal is correlated with the receiver input signal, the estimate of the feedback path is biased. This so-called “bias problem” results in a large modeling error and a cancellation of the desired signal. This paper proposes a band-limited linear predictive coding based approach to reduce the bias. The idea is to replace the hearing-aid output with a synthesized signal, which sounds perceptually the same as or similar to the original signal but is statistically uncorrelated with the external input signal at high frequencies where feedback oscillation usually occurs. Simulation results show that the proposed algorithm can effectively reduce the bias and the misalignment between the real and the estimated feedback path. When combined with filtered-X adaptation in the feedback canceller, this approach reduces the misalignment even further.
机译:反馈振荡是助听器的主要问题之一。反馈抑制的有效方法是自适应反馈消除,它使用自适应滤波器来估计反馈路径。但是,当外部输入信号与接收器输入信号相关时,反馈路径的估计将产生偏差。这种所谓的“偏差问题”导致较大的建模误差并消除所需信号。本文提出了一种基于带限线性预测编码的方法来减少偏差。这个想法是用合成信号代替助听器输出,该合成信号在听觉上听起来与原始信号相同或相似,但在统计学上与通常发生反馈振荡的高频外部输入信号不相关。仿真结果表明,所提算法可以有效地减少真实反馈路径与估计反馈路径之间的偏差和失准。与反馈消除器中的X滤波自适应相结合时,此方法可进一步减少失准。

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