Voice Signals Produced With Jitter Through a Stochastic One-mass Mechanical Model.

Summary Background The quasiperiodic oscillation of the vocal folds causes perturbations in the length of the glottal cycles, which are known as jitter. The observation of the glottal cycles variations suggests that jitter is a random phenomenon described by random deviations of the glottal cycle le...

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Publicado en:Journal of Voice Vol. 31; no. 1; pp. 111.e9 - 111000000001
Autores principales: Cataldo, Edson, Soize, Christian
Formato: research Journal Article
Publicado: Elsevier B.V. Jan2017
Acceso en línea:Ver este registro en EBSCOhost
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      dt: Jan2017
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        atl: Voice Signals Produced With Jitter Through a Stochastic One-mass Mechanical Model.
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          Cataldo, Edson
          Soize, Christian
        affil: Universidade Federal Fluminense, Applied Mathematics Departament and Graduate Program in Telecommunications Engineering, Rua Mário Santos Braga, S/N, Centro, Niteroi, RJ, CEP: 24020-140, Brazil
      sug:
        subj:
          Vocal Cords
          Vocal Cord Paralysis
          Voice
          Theory Construction
          Software
          Study Design
          Probability
      ab: Summary Background The quasiperiodic oscillation of the vocal folds causes perturbations in the length of the glottal cycles, which are known as jitter. The observation of the glottal cycles variations suggests that jitter is a random phenomenon described by random deviations of the glottal cycle lengths in relation to a corresponding mean value and, in general, its values are expressed as a percentage of the duration of the glottal pulse. Objective The objective of this paper is the construction of a stochastic model for jitter using a one-mass mechanical model of the vocal folds, which assumes complete right-left symmetry of the vocal folds, and which considers motions of the vocal folds only in the horizontal direction. Study design The jitter has been the subject for researchers due to its important applications such as the identification of pathological voices (nodules in the vocal folds, paralysis of the vocal folds, or even, the vocal aging, among others). Large values for jitter variations can indicate a pathological characteristic of the voice. Method The corresponding stiffness of each vocal fold is considered as a stochastic process, and its modeling is proposed. Results The probability density function of the fundamental frequency related to the voice signals produced are constructed and compared for different levels of jitter. Some samples of synthesized voices in these cases are obtained. Conclusions It is showed that jitter could be obtained using the model proposed. The Praat software was also used to verify the measures of jitter in the synthesized voice signals.
      pubtype: Academic Journal
      doctype:
        research
        Journal Article
      ougenre: Article
    language: English
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