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Criteria for estimating an FIR filter for cancelling the feedback path signal in hearing aid system

机译：在助听器系统中估计用于消除反馈路径信号的FIR滤波器的标准

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摘要

Many adaptive methods use a Finite Impulse Response (FIR) filter to estimate and cancel the effect of acoustic feedback from the loudspeaker to the microphone in a hearing aid system. In these methods the order of the filter is assumed to be fixed and known a priori, even if the feedback path characteristics change from one environment to another. Underestimation of the order of the filter and thus, the filter itself, results in inadequate feedback cancellation, while overestimation of the filter order increases computational complexity, delay, and power consumption without significantly improving cancellation of the feedback path effect. In this paper an adaptive method using short-duration noise injection with new criteria is proposed to recursively find the FIR filter of proper order for estimating the feedback path and cancelling its effect. The proposed method requires no a priori knowledge of the acoustic feedback path or its order. Using the speech and music signals as the desired signals at the input microphone, the performance of the proposed method is analyzed and compared with those based on the convergence of Misalignment (MISA) and Perceptual Evaluation of Speech Quality (PESQ) criteria.
机译：许多自适应方法使用有限冲激响应（FIR）滤波器来估计和消除助听器系统中从扬声器到麦克风的声学反馈的影响。在这些方法中，即使反馈路径特性从一种环境变为另一种环境，也假定滤波器的顺序是固定的并且是先验的。滤波器阶数的低估以及滤波器本身的低估都会导致反馈抵消不足，而滤波器阶数的高估会增加计算复杂度，延迟和功耗，而不会显着改善反馈路径效应的抵消。本文提出了一种采用短时噪声注入和新准则的自适应方法来递归地找到适当阶数的FIR滤波器，以估计反馈路径并消除其影响。所提出的方法不需要声学反馈路径或其顺序的先验知识。使用语音和音乐信号作为输入麦克风上的所需信号，分析了该方法的性能，并与基于未对准（MISA）收敛和语音质量感知评估（PESQ）标准的方法进行了比较。

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