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Acoustic feedback cancellation in digital hearing aids: A sparse adaptive filtering approach

机译：数字助听器中的声学反馈消除：一种稀疏的自适应滤波方法

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Cancelling the effect of acoustic feedback is a challenging task in the design of a behind the ear digital hearing aid. In traditional behind the ear digital hearing aids, feedback cancellation is usually achieved using an adaptive finite impulse response filter, the weights of which are updated using a suitable learning rule. However, the impulse response of the acoustic feedback path in a hearing aid is sparse in nature and traditional feedback cancellation systems are not designed to utilize this sparseness. An adaptive feedback canceller, which is trained using a set of sparse adaptive algorithms is designed in this paper to take advantage of the sparseness. Further, an attempt has been made to enhance the convergence of the feedback cancellation mechanism by introducing an adaptive de-correlation filter as well as using the concept of probe noise injection. The proposed feedback cancellation schemes are shown to provide improved and accurate feedback cancellation over traditional feedback cancellation mechanisms. (C) 2017 Elsevier Ltd. All rights reserved.
机译：在耳后数字助听器的设计中，消除声音反馈的影响是一项艰巨的任务。在传统的耳后数字助听器中，反馈消除通常是使用自适应有限脉冲响应滤波器实现的，其权重使用合适的学习规则进行更新。然而，助听器中的声学反馈路径的脉冲响应本质上是稀疏的，并且传统的反馈消除系统并未设计为利用这种稀疏性。本文设计了一种自适应反馈抵消器，该算法使用一组稀疏自适应算法进行训练，以利用稀疏性。此外，已经尝试通过引入自适应去相关滤波器以及使用探针噪声注入的概念来增强反馈消除机制的收敛性。示出了所提出的反馈消除方案，以提供优于传统反馈消除机制的改进且准确的反馈消除。 （C）2017 Elsevier Ltd.保留所有权利。

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