• DocumentCode
    3439524
  • Title

    Decomposition of speech signals into a periodic and non-periodic part based on sinusoidal models

  • Author

    Yannis, Stylianou

  • Author_Institution
    Groupe ESIEE, Noisy Le Grand, France
  • Volume
    1
  • fYear
    1996
  • fDate
    13-16 Oct 1996
  • Firstpage
    514
  • Abstract
    This paper focuses on the speech signals decomposition problem based on three sinusoidal models which can be viewed as three versions of a basic model: the Harmonic plus Noise Model, HNM. For the first model, noted as HNM1, the harmonic amplitudes are retained constants within the analysis frame; the phase is assumed to be linear. The second model, HNM2, makes use of linearly varying complex amplitudes for the harmonic part whereas, the third model, HNM3 , makes use of a third order polynomial with real coefficients for the harmonic amplitudes and also linear phase as the first model. To obtain the non-periodic part (or noise part) the harmonic part is simply subtracting from the original speech signal in the time domain
  • Keywords
    harmonics; parameter estimation; polynomials; speech processing; speech synthesis; harmonic amplitudes; harmonic plus noise model; linear phase; linearly varying complex amplitudes; nonperiodic part; periodic part; real coefficients; sinusoidal models; speech signal decomposition; third order polynomial; Acoustic noise; Harmonic analysis; Pathology; Polynomials; Psychoacoustic models; Psychology; Signal synthesis; Speech coding; Speech enhancement; Speech synthesis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electronics, Circuits, and Systems, 1996. ICECS '96., Proceedings of the Third IEEE International Conference on
  • Conference_Location
    Rodos
  • Print_ISBN
    0-7803-3650-X
  • Type

    conf

  • DOI
    10.1109/ICECS.1996.582918
  • Filename
    582918