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Evaluation of Noise Reduction Algorithms in Hearing Aids for Multiple Signals From Equal or Different Directions

机译:来自相同或不同方向的多信号助听器降噪算法的评估

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摘要

One objective way to evaluate the effect of noise reduction algorithms in hearing aids is to measure the increase in signal-to-noise-ratio (SNR). To this end, Hagerman and Olofsson presented a method where multiple recordings take place and the phase of one signal is inverted between the measurements. This phase inversion method allows one to separate signal and noise at the output of the hearing aid so that the increase in SNR can be evaluated. However, only two signals can be distinguished, for example, speech and noise. As many realistic situations include more than two signals, we extend the method to an arbitrary number of signals. Two different approaches are discussed. For the first one, groups of the signals are created and presented in such a way that the basic phase inversion method can be used. The second, more efficient approach defines a linear system of equations considering all signals. As the robustness of this approach depends on the structure of the system matrix, the design of this matrix is described in detail. To prove the concept, the proposed efficient method was applied to a setup in which nine different signals were presented by eight loudspeakers, and an analysis of errors was performed. With this setup, a state-of-the-art hearing aid was analyzed for four different settings, that is, with the digital noise reduction or the directional microphones turned on or off. As a result, the SNRs for all directions can be investigated individually.
机译:评估降噪算法在助听器中效果的一种客观方法是测量信噪比(SNR)的增加。为此,Hagerman和Olofsson提出了一种方法,其中进行多次记录,并且在两次测量之间将一个信号的相位反转。这种相位反转方法可以使助听器的输出处的信号和噪声分离,从而可以评估SNR的增加。但是,只能区分两个信号,例如语音和噪声。由于许多现实情况都包含两个以上的信号,因此我们将该方法扩展到任意数量的信号。讨论了两种不同的方法。对于第一个信号,以可以使用基本相位反转方法的方式创建和显示信号组。第二种更有效的方法定义了一个考虑所有信号的线性方程组。由于此方法的鲁棒性取决于系统矩阵的结构,因此将详细描述此矩阵的设计。为了证明这一概念,将所提出的有效方法应用于由八个扬声器呈现九个不同信号的设置,并对错误进行了分析。使用此设置,可以分析四种不同设置的最新助听器,即数字降噪或定向麦克风的打开或关闭。结果,可以单独研究所有方向的SNR。

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