Fast Pitch Modelling for Cs-acelp Coder Using Fermat Number Tranforms

نویسندگان

  • G. Madre
  • E. H. Baghious
  • S. Azou
  • G. Burel
چکیده

This paper presents a double improvements to reduce the speech coding complexity of the pitch prediction in a CodeExcited Linear Prediction (CELP ) coder. First, the pitch analysis structure is modified. A new fast Pitch Modelling by linear-Filtering (PMF ) procedure will determine the adaptive and stochastic codebook contributions of the excitation signal. Afterwards, an e cient implementation of the PMF CELP coding is proposed by using Number Theoretic Transforms which can significantly reduce the algorithm computation complexity.

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تاریخ انتشار 2003