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LPC与LSF转换算法的比较研究 被引量:2

Algorithm Research on Transformation of LPC and LSF
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摘要 线性预测法是语音信号处理中的核心技术。在语音信号的处理中,常常需要将线性预测的LPC系数与LSF参数相互转换。本文根据Chebyshev多项式求根法,研究了几种由LPC求解LSF的算法,分析了它们各自的特点及相互关系。分析并推导了由LSF求解LPC的算法。 Linear prediction is a kernel technology of speech processing. In speech processing, transformation between LPC and LSF is usually needed. In this research, according to the method of Chebyshev polynomial root finding, several algorithms of converting from LPC to LSF are studied, their features and the relation between each other are analyzed. The method of converting from LSF to LPC is analyzed and presented.
出处 《信号处理》 CSCD 2004年第5期521-524,共4页 Journal of Signal Processing
关键词 LPC 线性预测 语音信号处理 转换算法 相互转换 求解 参数 系数 speech signal processing LSF voice conversion
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参考文献5

  • 1Kabal E Ramachandran E The computation of line spectral frequencies using Chebyshev polynomials. IEEE Trans. In Acoustics, Speech and Signal Processing, 1986;34(6): 1419-1426.
  • 2Grsssi S, Dufaux A, Anso rge M, PeUandini E Efficient Algorithm to Compute LSP Parameters From 10^th-order LPCConference on Acoustics,Speech, and Signal Processing 1997; 1707-1710.
  • 3Xiao-dan Mei, Sheng-he Sun. An efficient method to compute LSFs from LPC coefficients. The 16^th World Computer Congress. Beijing, 2000: 655-658.
  • 4KAIN A. High Resolution Voice Transformation. Ph.D. Dissertation, OGI School of Science arid Engineering at Oregon Health and Science University. October 2001.
  • 5ARSLAN L. M Speaker Transformation Algorithm using Segmental Codebooks (STASC). Speech Communication.June 1999; 28:211-226.

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