The Abstraction and Analysis of Fractal Characteristic of Noisy Speech
噪声环境下语音分形特征的提取和分析

Yong-qiang Zhao Li Zou Cai-rong (Department of Radio Engineering, Southeast University, Nanjing 210096, China) Abstract: According to simple computation, good anti-noise ability and low precision of Katz algorithm and complex computation and good precision of box-counting dimension and correlation dimension, an Improvement fractal algorithm Based on Wave (IBW) is presented and analyzed through the fractal Brown curve and noisy speech according to the characteristic of the box dimension and Katz dimension. The theory analyse and experiment show that IBW-FD has lower computation and higher precision than Katz dimension and box-counting dimension. IBW-FD also has stronger ability of anti-noise and distinguish Gaussian noise and speech than the others. It shows that IBW-FD is the good speech fractal algorithm because of low complexity, good precision and nice anti-noise ability.