混沌、分形理论与语音信号处理

Chaos and Fractal Theories for Speech Signal Processing

本文旨在将新兴的混沌、分形理论引入语音信号处理。本文提出了一种新的语音信号相空间重构方法，分析、统计了语音信号最大Ｌｙａｐｕｎｏｖ指数及分维度的分布，并提出了基于分形码本的语音信号码激励线性预测编码新算法。本文的研究表明，混沌、分形理论在语音信号处理中有良好的应用前景。

Based on the recently developed chaos and fractal theories,this paper introduces new methods for speech signal processing.A novel phase space reconstruction algorithms is proposed for speech signal,the distributions of the maximum Lyapunov exponent and the fractal dimension of speech signal are tested and analyzed statistically,and a new low bit rate speech coding method based on fractal code excited linear prediction is presented.The results of this study indicate that chaos and fractal theories have great potentials in the field of speech signal processing.