Glottal Source Estimation Using an Automatic Chirp Decomposition

  • Thomas Drugman
  • Baris Bozkurt
  • Thierry Dutoit
Conference paper

DOI: 10.1007/978-3-642-11509-7_5

Volume 5933 of the book series Lecture Notes in Computer Science (LNCS)
Cite this paper as:
Drugman T., Bozkurt B., Dutoit T. (2010) Glottal Source Estimation Using an Automatic Chirp Decomposition. In: Solé-Casals J., Zaiats V. (eds) Advances in Nonlinear Speech Processing. NOLISP 2009. Lecture Notes in Computer Science, vol 5933. Springer, Berlin, Heidelberg

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.

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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