用于助听器降噪和语音增强的矩阵维纳滤波器的设计

Nayan Modhave, Y. Karuna, Sourabh Tonde
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引用次数: 9

摘要

本文提出了一种用于助听器语音处理的矩阵维纳滤波算法。目前使用的助听器(HA)设备效率较低,因为环境噪声已经添加到语音信号中并破坏了听者的听力。在HA器件中引入维纳滤波器,可以将噪声降低到特定的水平。通过增加辅助信道的数量可以提高设备的性能。矩阵维纳滤波器是一种考虑语音和噪声相关性的矩阵组合的技术,具有比多通道维纳滤波器更好的性能。采用一种多输入多输出(MIMO)系统,该系统具有多个目标语音信号,利用矩阵维纳滤波器消除语音中的噪声,对传入听者的语音进行估计。由语音和噪声相关矩阵计算维纳矩阵系数。仿真结果表明,矩阵维纳滤波器比多通道和单通道维纳滤波器性能更好。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Design of matrix wiener filter for noise reduction and speech enhancement in hearing aids
This paper proposes an algorithm for matrix wiener filter for speech processing in case of hearing aids. Hearing aid (HA) devices currently used are less efficient as environmental noise already added into speech signal corrupts it and heard by listener. Introducing wiener filter in HA device allows reducing noise to particular level. By increasing number of secondary channels can enhance the performance of the device. Matrix wiener filter is a technique which considers matrix combination of speech and noise correlations and has better performance than multichannel wiener filter. A multi input multi output (MIMO) system having multiple target speech signals is used, it utilizes matrix wiener filter for nullifying noise in speech which estimates the speech coming towards listener. Wiener matrix coefficients are calculated from speech and noise correlation matrices. Simulation results prove that matrix wiener filter performs better compared to multichannel and single channel wiener filter.
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