带限NLMS算法在助听器中的应用

Yunqian Li, Liping Chang
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引用次数: 1

摘要

声反馈是助听器的一个严重问题。这种反馈会导致口哨般的声音,让听力严重受损的人感觉很糟糕。传统的LMS算法和归一化LMS算法在减少助听器反馈振荡方面的效果并不理想。为此,提出了一种带限NLMS算法。为了确定使用哪种自适应滤波器更合适,我们用这两种方案进行了仿真,并比较了两种方案的信反馈比(SFR),带限算法性能更好,输出语音质量更好。常用的自适应滤波器是FIR滤波器,但其系数多,计算量大,因此提出了一种基于FIR自适应滤波器的反馈缩减子系统。它的系数更少,计算成本更低。在这种情况下,IIR滤波器采用了针对这种滤波器的NLMS算法的修改版本。它使用更少的系数,获得了更好的性能。
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The application of band-limited NLMS algorithm in hearing aids
Acoustic feedback is a serious problem in hearing aids. The feedback can result in whistling sound and make people who have severe hearing loss feel terrible. Traditional LMS and normalized LMS algorithm have been studied before, but these algorithms do not provide satisfactory performance for reducing feedback oscillation in hearing aids. So a band-limited NLMS algorithm is proposed. In order to determine which adaptive filter used is more suitable, we use these two kinds scheme to simulation and compare the Signal-to- Feedback-Ratio (SFR) of these two schemes, the band-limited algorithm has better performance and the output speech's quality is better. The commonly used adaptive filter is FIR filter, but it has more coefficients and high computational complexity, so a feedback reduction subsystem based on IIR adaptive filters is proposed. Its coefficients are fewer and computational cost is lower. In this case, the IIR filter is adapted with a modified version of the NLMS algorithm for this kind of filters. It uses fewer coefficients and obtains better performance.
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