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首页> 外文期刊>Journal of signal processing systems for signal, image, and video technology >An Efficient Delayless Sub-band Filtering for Adaptive Feedback Compensation in Hearing Aid
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An Efficient Delayless Sub-band Filtering for Adaptive Feedback Compensation in Hearing Aid

机译：助听器自适应反馈补偿的高效无延迟子带滤波

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摘要

Acoustic feedback, or signal leakage between the loudspeaker and microphone of hearing aids, creates some irritations to the users of these devices and degrades the performance of the hearing aids. Among various methods proposed to cancel the negative effect of acoustic feedback, Instrumental Variable Method Adaptive Feedback Canceller (IVM-AFC) has shown superb performance. IVM-AFC exploits two kinds of adaptive filters to pre-filter the signals and to estimate the feedback path transfer function, respectively. This AFC method typically uses Partitioned Block Frequency Domain Normalized Least Mean Square (PBFD- NLMS) algorithm for the feedback path estimation. In this paper, two alternative algorithms are introduced in addition to PBFD-NLMS. One is Discrete Fourier Transform Multi-Delay block Frequency domain NLMS (DFT-MDF-NLMS) algorithm not used for this application before. The other one is a new delayless sub-band filtering algorithm. The algorithms are evaluated using speech as the input of hearing aid. Based on the experimental results, the new sub-band filtering method possesses low computational complexity and high capability of tracking the changes in the feedback path.
机译：声学反馈或助听器的扬声器与麦克风之间的信号泄漏会给这些设备的使用者带来一些不适，并降低助听器的性能。在各种旨在消除声学反馈的负面影响的方法中，工具可变方法自适应反馈消除器（IVM-AFC）已显示出卓越的性能。 IVM-AFC利用两种自适应滤波器分别对信号进行预滤波并估计反馈路径传递函数。该AFC方法通常使用分区块频域归一化最小均方（PBFD-NLMS）算法进行反馈路径估计。在本文中，除PBFD-NLMS之外，还介绍了两种替代算法。一种是离散傅立叶变换多延迟块频域NLMS（DFT-MDF-NLMS）算法。另一个是新的无延迟子带滤波算法。使用语音作为助听器的输入来评估算法。基于实验结果，新的子带滤波方法具有较低的计算复杂度和跟踪反馈路径变化的能力。

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