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Glottal Source Estimation Using an Automatic Chirp Decomposition

  • Thomas Drugman
  • Baris Bozkurt
  • Thierry Dutoit
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5933)

Abstract

In a previous work, we showed that the glottal source can be estimated from speech signals by computing the Zeros of the Z-Transform (ZZT). Decomposition was achieved by separating the roots inside (causal contribution) and outside (anticausal contribution) the unit circle. In order to guarantee a correct deconvolution, time alignment on the Glottal Closure Instants (GCIs) was shown to be essential. This paper extends the formalism of ZZT by evaluating the Z-transform on a contour possibly different from the unit circle. A method is proposed for determining automatically this contour by inspecting the root distribution. The derived Zeros of the Chirp Z-Transform (ZCZT)-based technique turns out to be much more robust to GCI location errors.

Keywords

Unit Circle Speech Signal Root Distribution Vocal Tract Synthetic Speech 
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-Verlag Berlin Heidelberg 2010

Authors and Affiliations

  • Thomas Drugman
    • 1
  • Baris Bozkurt
    • 2
  • Thierry Dutoit
    • 1
  1. 1.TCTS Lab, Faculté Polytechnique de MonsBelgium
  2. 2.Department of Electrical & Electronics EngineeringIzmir Institute of TechnologyTurkey

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