Fractal Dimension of Voice-Signal Waveforms  

作　　者：Xie Yu qiong, Wen Zhi xiong Non linear Science Center , Wuhan University,Wuhan 430072,Hubei,China 

出　　处：《Wuhan University Journal of Natural Sciences》2002年第4期399-402,共4页武汉大学学报（自然科学英文版）

基　　金：SupportedbytheSpecialFundsforMayStateBasicResearchProject

摘　　要：The fractal dimension is one important parameter that characterizes waveforms. In this paper, we derive a new method to calculate fractal dimension of digital voice-signal waveforms. We show that fractal dimension is an efficient tool for speaker recognition or speech recognition. It can be used to identify different speakers or distinguish speech. We apply our results to Chinese speaker recognition and numerical experiment shows that fractal dimension is an efficient parameter to characterize individual Chinese speakers. We have developed a semiautomatic voiceprint analysis system based on the theory of this paper and former researches.The fractal dimension is one important parameter that characterizes waveforms. In this paper, we derive a new method to calculate fractal dimension of digital voice-signal waveforms. We show that fractal dimension is an efficient tool for speaker recognition or speech recognition. It can be used to identify different speakers or distinguish speech. We apply our results to Chinese speaker recognition and numerical experiment shows that fractal dimension is an efficient parameter to characterize individual Chinese speakers. We have developed a semiautomatic voiceprint analysis system based on the theory of this paper and former researches.

关 键 词：Key words fractal dimension voiceprint analysis speaker recognition speech recognition biometric authentication 

分 类 号：TN912[电子电信—通信与信息系统]