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A study on improvement of colored noise reduction method using estimated noise spectrum

机译:利用估计噪声谱改进彩色降噪方法的研究

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摘要

In this paper, we propose a noise reduction method using linear predictor and adaptive digital filter It is known that the coefficients of the linear predictor converge such that the prediction error signal becomes white. Reconstructing the noise spectrum from the white signal obtained as the prediction error signal is achieved by estimating the noise spectrum. This estimation is performed by the adaptive digital filter which is used as system identification. Noise reduction is achieved by subtracting the reconstructed noise from the input signal which is a voice mixed with noise. However, under the low signal to noise ratio (S/N), it is difficult to estimate the voice spectrum by the linear predictor. Then, the whitening ability of the linear predictor degrades, and the S/N of enhanced signal degrades too. To improve this problem we consider pre-linear predictor using coefficients control method. The pre-linear predictor filter can improve the S/N of the input signal by using the control method for updating the coefficients of the linear predictor. Since the signal obtained as the output of the pre-linear predictor using coefficients control method can be used as the input signal of the secondary linear predictor used for whitening the signal, the signal whitening ability of the secondary linear predictor can be improved. Some experiment results show the effectiveness of the proposed method.
机译:在本文中,我们提出了一种使用线性预测器和自适应数字滤波器的降噪方法。众所周知,线性预测器的系数会收敛,从而使预测误差信号变为白色。通过估计噪声频谱,从作为预测误差信号而获得的白色信号重构噪声频谱。该估计由用作系统标识的自适应数字滤波器执行。噪声降低是通过从输入信号中减去重构噪声来实现的,该输入信号是与噪声混合的声音。但是,在低信噪比(S / N)下,很难通过线性预测器来估计语音频谱。然后,线性预测器的白化能力降低,并且增强信号的S / N也降低。为了改善这个问题,我们考虑使用系数控制方法进行线性预测。线性预测器滤波器可以通过使用用于更新线性预测器的系数的控制方法来改善输入信号的信噪比。由于使用系数控制方法作为预线性预测器的输出获得的信号可以用作用于对信号进行白化的次级线性预测器的输入信号,因此可以提高次级线性预测器的信号白化能力。实验结果证明了该方法的有效性。

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