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Acoustic feedback cancellation based on weighted adaptive projection subgradient method in hearing aids

机译：基于加权自适应投影次梯度法的助听器声反馈消除

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摘要

Acoustic feedback is an important factor that degrades the overall performance of hearing aids, and acoustic feedback cancellation has always been the research focus in the field of signal processing in hearing aids. The newly suggested adaptive projection subgradient method (APSM) for adaptive signal processing solves the problem of difficulty in finding the exact projection operator in the realization of affine projection by taking the subgradient projection hyperplane as the searching region for relaxed projection. This work applies APSM in the acoustic feedback cancellation system of hearing aids for the first time, and proposes a weighted adaptive projection subgradient method (WAPSM), which takes into consideration the exponential decay weight factor to incorporate the prior information of estimation system. The new method is compared with the traditional NLMS algorithm and APSM algorithm in simulation experiments. Incorporating the prior information of estimation system by setting the proper weighting matrix, WAPSM achieved notable improvements on the speed, stability and accuracy of the misalignment convergence. Numerical experiments demonstrate that the proposed algorithm is more robust for low SNR and real speech segment input than the traditional algorithms.
机译：声学反馈是降低助听器整体性能的重要因素，声学反馈消除一直是助听器信号处理领域的研究重点。新提出的用于自适应信号处理的自适应投影次梯度方法（APSM）通过将次梯度投影超平面作为松弛投影的搜索区域，解决了在仿射投影实现中难以找到精确的投影算子的问题。这项工作首次将APSM应用于助听器的声反馈消除系统，并提出了一种加权自适应投影次梯度方法（WAPSM），该方法考虑了指数衰减权重因数，并结合了估计系统的先验信息。在仿真实验中，将该新方法与传统的NLMS算法和APSM算法进行了比较。通过设置适当的加权矩阵，结合估计系统的先验信息，WAPSM在失准收敛的速度，稳定性和准确性方面取得了显着改善。数值实验表明，与传统算法相比，该算法在低信噪比和真实语音段输入方面具有更强的鲁棒性。

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