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结合人耳听觉掩蔽效应,提出一种基于听觉感知加权的卡尔曼滤波语音增强方法。由于人耳对语音的感知主要是通过语音信号频谱分量幅度获得的,引入听觉感知加权滤波器在频域上使共振峰区域残留噪声更多,而共振峰之间及语音幅度谱较低的区域残留噪声减少,这样符合人耳的听觉特性,从而使得主观感觉到的噪声最小。采用语音质量感知评估对语音增强的效果进行评测,与传统的卡尔曼滤波语音增强算法相比,实验结果显示该算法提高了增强语音的质量。
Combined with human auditory masking effect, a speech enhancement method based on auditory perception weighted Kalman filtering is proposed. Because the human ear perceives the speech mainly through the amplitude of the spectral components of the speech signal, the auditory perceptual weighting filter is introduced to make the residual noise of the formant region more in the frequency domain and the residual of the formant region and the region of the lower speech amplitude spectrum Noise reduction, which is consistent with the auditory characteristics of the human ear, so that subjective noise perception is minimized. Compared with the traditional Kalman filtering speech enhancement algorithm, the speech quality perception assessment is used to evaluate the speech enhancement. Experimental results show that the proposed algorithm improves the quality of speech enhancement.