Glottal Source Estimation Using an Automatic Chirp Decomposition

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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. © 2010 Springer-Verlag.

Description

International Conference on Nonlinear Speech Processing, NOLISP 2009; Vic; Spain; 25 June 2009 through 27 June 2009

Keywords

Speech processing, Mathematical transformations, Unit circles, Time alignment, Root distribution, FOS: Computer and information sciences, Sound (cs.SD), Computer Science - Computation and Language, Computer Science - Sound, Speech processing, Audio and Speech Processing (eess.AS), Unit circles, FOS: Electrical engineering, electronic engineering, information engineering, Time alignment, Mathematical transformations, Root distribution, Computation and Language (cs.CL), Electrical Engineering and Systems Science - Audio and Speech Processing

Fields of Science

02 engineering and technology, 03 medical and health sciences, 0202 electrical engineering, electronic engineering, information engineering, 0305 other medical science

Citation

Drugman, T., Bozkurt, B., and Dutoit, T. (2010). Glottal source estimation using an automatic chirp decomposition. Lecture Notes in Computer Science, 5933 LNAI, 35-42. doi:10.1007/978-3-642-11509-7_5

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5933 LNAI

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35

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42
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