Glottal Source Estimation using an Automatic Chirp Decomposition
May 16, 2020 ยท Declared Dead ยท ๐ Non-Linear Speech Processing
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Authors
Thomas Drugman, Baris Bozkurt, Thierry Dutoit
arXiv ID
2005.07897
Category
cs.SD: Sound
Cross-listed
cs.CL,
eess.AS
Citations
7
Venue
Non-Linear Speech Processing
Last Checked
3 months ago
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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