基于二维空间的语音分形处理算法
Algorithm of speech fractal processing based on two-dimensional theory
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摘要: 提出了一种二维空间的语音分形增强算法。算法对已加窗、模块化的语音数据进行二维傅里叶变换。以分形维数构成自适应滤波器,降低噪声,增强语音,得到清晰的信号。研究表明,分形算法可以弥补传统线性分析方法的不足,二维自适应滤波前后语音的包络形状较好地保持了原始语音信号的特征,算法减小了由于非平稳噪声的影响,并有效抑制了音乐噪声。Abstract: This paper presents an algorithm of speech enhancement based on two-dimensional and fractal theory. 2-D Fourier transform is done for the blocking and windowing of the speech data. After fractal dimension has been calculated, adapting filter based on the fractal dimension follows to reduce noise and enhance speech by data processing. Then the speech signal within the noise is reduced is obtained. The results of this study indicate that the fractal algorithm can remedy the shortage of conventional linear analysis method, 2-D adapting filter can make original character of speech signal be kept, and the algorithm reduces the unsteady noise and restrains musical noise effectiuely.