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.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Plumpe, M., Quatieri, T., Reynolds, D.: Modeling of the glottal flow derivative waveform with application to speaker identification. IEEE Trans. on Speech and Audio Processing 7, 569–586 (1999)
Moore, E., Clements, M., Peifer, J., Weisser, L.: Investigating the role of glottal features in classifying clinical depression. In: Proc. of the 25th International Conference of the IEEE Engineering in Medicine and Biology Society, vol. 3, pp. 2849–2852 (2003)
Yamada, D., Kitaoka, N., Nakagawa, S.: Speech Recognition Using Features Based on Glottal Sound Source. Trans. of the Institute of Electrical Engineers of Japan 122-C(12), 2028–2034 (2002)
Drugman, T., Wilfart, G., Moinet, A., Dutoit, T.: Using a pitch-synchronous residual for hybrid HMM/frame selection speech synthesis. In: Proc. IEEE International Conference on Speech and Signal Processing (2009)
Alku, P., Vilkman, E.: Estimation of the glottal pulseform based on discrete all-pole modeling. In: Third International Conference on Spoken Language Processing, pp. 1619–1622 (1994)
Alku, P., Svec, J., Vilkman, E., Sram, F.: Glottal wave analysis with pitch synchronous iterative adaptive inverse filtering. Speech Communication 11(2-3), 109–118 (1992)
Veeneman, D., BeMent, S.: Automatic glottal inverse filtering from speech and electroglottographic signals. IEEE Trans. on Signal Processing 33, 369–377 (1985)
Brookes, D., Chan, D.: Speaker characteristics from a glottal airflow model using glottal inverse filtering. Proc. Institue of Acoust. 15, 501–508 (1994)
Bozkurt, B., Doval, B., D’Alessandro, C., Dutoit, T.: Zeros of Z-Transform Representation With Application to Source-Filter Separation in Speech. IEEE Signal Processing Letters 12(4) (2005)
Doval, B., d’Alessandro, C., Henrich, N.: The voice source as a causal/anticausal linear filter. In: Proceedings ISCA ITRW VOQUAL 2003, pp. 15–19 (2003)
Sturmel, N., D’Alessandro, C., Doval, B.: A comparative evaluation of the Zeros of Z-transform representation for voice source estimation. In: The Interspeech 2007, pp. 558–561 (2007)
Bozkurt, B., Doval, B., D’Alessandro, C., Dutoit, T.: Appropriate windowing for group delay analysis and roots of Z-transform of speech signals. In: Proc. of the 12th European Signal Processing Conference (2004)
Rabiner, L., Schafer, R., Rader, C.: The Chirp-Z transform Algorithm and Its Application. Bell System Technical Journal 48(5), 1249–1292 (1969)
Tribolet, J., Quatieri, T., Oppenheim, A.: Short-time homomorphic analysis. In: IEEE International Conference on Speech and Signal Processing, vol. 2, pp. 716–722 (1977)
Fant, G., Liljencrants, J., Lin, Q.: A four parameter model of glottal flow. STL-QPSR4, 1–13 (1985)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2010 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
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. https://doi.org/10.1007/978-3-642-11509-7_5
Download citation
DOI: https://doi.org/10.1007/978-3-642-11509-7_5
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-11508-0
Online ISBN: 978-3-642-11509-7
eBook Packages: Computer ScienceComputer Science (R0)