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语音信号非线性特征的数值表示 被引量:2

Numerical Description of the Nonlinear Aspect of Speech
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摘要 分析了语音信号的非线性特征 ,用傅里叶谱、吸引子、分维数、李亚普诺夫指数等非线性动力学行为的数值特征表征了语音信号的非线性特征。采用时延语音序列重构语音吸引子 ,用计盒分维数计算语音波形的分维数。实验结果显示语音波形具有分形特征 。 The nonlinearity of speech is analyzed quantitatively in this paper.Four numerical characteristics of dynamics system,i.e.,Fourier spectrum,attractor,fractal dimension,and Lyapunov exponent,serve as the indicators of the nonlinearity of speech.In our study,time delayed samples of speech series are used to reconstruct speech attractor in phase space.The box counting fractal dimension of speech waveform is calculated to indicate the fractal aspect of speech.The study of the nonlinearity of speech concludes that speech waveform is fractal and that there exists chaos in speech.
作者 周志杰
出处 《解放军理工大学学报(自然科学版)》 EI 2002年第1期27-30,共4页 Journal of PLA University of Science and Technology(Natural Science Edition)
关键词 语音信号 非线性特征 数值表示 语音处理 语音分析 speech analysis speech processing nonlinear method
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参考文献5

  • 1MCGOWAN R S. An aeroacoustics approach to phonation[J]. J Acoust Soc Am,1990,83(2):696-704.
  • 2LORENZ E N, Deterministic nonperiodic fiow[J], J Atmos Sci, 1963,20(3) : 130-141
  • 3RUELLE D,TAKENS F. On the nature of turbulence[J],Commun Math Phys, 1971,20(10):985-992
  • 4LI T Y,YORKE J A. Period three implies chaos[J].Am Math,1975,82(10) :985-992.
  • 5THEILER J. Estimating fractal dimension[J], J Opt Soc Am A,1990,7(6):1055-1073

同被引文献7

  • 1武安绪,林向东,穆会泳,赵桂儒,柴金翼,吴培稚.EMD新技术在数字波形预处理中的初步应用[J].华南地震,2006,26(1):133-138. 被引量:8
  • 2DAUBECHIES.Orthonormal bases of compactly supported wavelets[J].Communications on Pure and Applied Mathematics,1988,41 (7):909-996.
  • 3MALLAT S.A theory for multiresolution decomposition:the wavelet representation[J].IEEE Transactions on Acoustics Speech and Signal processing,1988,37(1):674-693.
  • 4MARTIN R.An efficient algorithm to estimate the instantaneous SNR of speech signals[J].Eurospeech,1993,1 (3):1093-1096.
  • 5MARZINZIK M,KOLLMEIER B.Speech pause detection for noise spectrum estimation by tracking power envelope dynamics[J].IEEE Trans on S & A Proc,2002,10(6):341-351.
  • 6RAMIREZ J,SEGURA J,BENITEZ C,et al.Efficient voice activity detection algorithms using longterm speech information[J].Speech Communication,2004,42(3):271-287.
  • 7黄大吉,赵进平,苏纪兰.希尔伯特-黄变换的端点延拓[J].海洋学报,2003,25(1):1-11. 被引量:124

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