Glottal source estimation using an automatic chirp decomposition

  • Authors:
  • Thomas Drugman;Baris Bozkurt;Thierry Dutoit

  • Affiliations:
  • TCTS Lab, Faculté Polytechnique de Mons, Belgium;Department of Electrical & Electronics Engineering, Izmir Institute of Technology, Turkey;TCTS Lab, Faculté Polytechnique de Mons, Belgium

  • Venue:
  • NOLISP'09 Proceedings of the 2009 international conference on Advances in Nonlinear Speech Processing
  • Year:
  • 2009

Quantified Score

Hi-index 0.00

Visualization

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.