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A CELP-Based Speech-Model Process

  • M. Reza Serafat
Part of the Applied and Numerical Harmonic Analysis book series (ANHA)

Abstract

A new Speech-Model Process (SMP) is proposed as a test signal for speech processing applications to avoid several shortcomings (e.g., speaker dependencies) of using natural speech as a test signal. The generation procedure for this SMP, which is based on a modified CELP-structure, is presented. The controlling part of this SMP involves several Markov chains to adapt the time-varying properties of the process to those of natural speech. Furthermore, we show that this signal can also be used as a suitable test signal for telephone speech-applications, if we limit it to the telephone frequency-band.

Keywords

Probability Density Function Natural Speech Gain Term Stochastic Excitation Gain Vector 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer Science+Business Media New York 1998

Authors and Affiliations

  • M. Reza Serafat
    • 1
  1. 1.Institute for Network & System TheoryUniversity KielGermany

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