Representation of a Voiced Speech Signal Model With Wigner- Ville Transform

نویسندگان

  • Khawla Zammel
  • Noureddine Ellouze
چکیده

Wigner Ville Transform is introduced as a suitable tool for the analysis of the speech signal, as it allows making a correct representation of the signal energy. First, we give a mathematical formulation of the Wigner Ville Transform of a stationary model of voiced speech. The speech model is expressed as a linear combination of the harmonic frequencies of fundamental frequency of the voiced speech signal. Identification of frequency coefficients from a stationary signal of real speech is operated. Then WVT term is compared with the transform of a real WVT voiced speech signal. Finally, identification of frequency coefficients from a stationary signal of real speech is operated. Keywords— Energy distribution, Fourier Transform, Timefrequency analysis, Voiced speech model, Wigner Ville Transform.

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تاریخ انتشار 2015