Abstract
In this paper we propose the use of nonlinear speech features to improve the voice quality measurement. We have tested a couple of features from the Dynamical System Theory, namely: the Correlation Dimension and the largest Lyapunov Exponent. In particular, we have studied the optimal size of time window for this type of analysis in the field of the characterization of the voice quality. Two systems of automatic detection of laryngeal pathologies, one of them including these features, have been implemented with the purpose of validating the usefulness of the suggested nonlinear features. We obtain slight improvements with respect to a classical system.
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
Alonso, J.B., de Leon, J., Alonso, I., Ferrer, M.A.: Automatic detection of pathologies in the voice by HOS based parameters. Proc. EUROASIP Journal on Applied Signal Processing 1, 275–284 (2001)
Fröhlich, M., Michaelis, D., Srube, H.W.: Acoustic ‘Breathiness Measures’ in the description of Pathologic Voices. In: Porc. ICASSP 1998, Seattle, WA, vol. 2, pp. 937–940 (1998)
Gavidia, L., Hansen, J.: Direct Speech Feature Estimation Using an Iteractive EM Algorithm for Vocal Fold Pathology Detection. Porc. IEEE Transactions on Biomedical Engineering 43(4), 373–383 (1996)
Feijoo, S., Hernandez, C., Carollo, A., Hermida, R.C., Moldes, E.: Acoustic Evaluation of glottal cancer based on short-term stability measures. In: Porc. IEEE Engineering in Medicine & Biology Society 11th Annual Internatioonal Conference, vol. 2, pp. 675–676 (1989)
Boyanov, B., Hadjitodorov Ivanov, S.: Analysis of voiced speech by means of bispectrum. Electronics Letters 27(24), 2267–2268 (1991)
Boyanov, B., Hadjitodorov, S.: Acoustic analysis of pathological voices: a voice analysis system for screening of laryngeal diseases. Proc. IEEE Engineering in Medical and Biology 16(4), 74–82 (1997)
Hansen, J.H.L., Gavidia, L., James, F.: A nonlinear operator-based speech feature analysis method with application to vocal fold pathology assessment. Proc. IEEE Transactions on Biomedical Engineering 45(3), 300–313 (1998)
Rosa, M.O., Pereria, J.C., Carvalho, C.P.L.F.: Evaluation of neural classifier using statistics methods for identification of laryngeal pathologies. Proc. Neural Networks 1, 220–225 (1998)
Wallen, E.J., Hansen, J.H.L.: A Screening test for speech pathology assessment using objective quality measures. In: Proc. International Conference on Spoken Language Processing, Philadelphia, PA, vol. 2, pp. 776–779 (1996)
Banbrook, M., McLaughlin, S., Mann, I.: Speech Characterization and Synthesis by Nonlinear Methods. Proc.IEEE Transactions on Speech and Audio Processing 7(1) (January 1999)
Pitsikalis, V., Kokkinos, I., Maragos, P.: Nonlinear Analysis of Speech Signals: Generalized Dimensions and Lyapunov Exponents. In: Proc EUROSPEECH-2003, Geneva, pp. 817–820 (2003)
Jiang, J.J., Zhang, Y.: Nonlinear dynamic analysis of speech from pathological subjects. Proc IEEE Electronics Letters 38(6) (March 2002)
Hegger, R., Kantz, H., Schreiber, T.: Practical implementation of nonlinear time series methods: The TISEAN package, CHAOS 9, 413 (1999)
Ott, E.: Chaos in Dynamical Systems. Cambridge University Press, Cambridge (1993)
Koreman, J., Pützer, M.: Finding Correlates of Vocal Fold Adduction Deficiencies, Phonus 3, Institute of Phonetics, University of the Saarland, pp. 155-178 (1997)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2006 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Alonso, J.B., Díaz-de-María, F., Travieso, C.M., Ferrer, M.A. (2006). Optimal Size of Time Window in Nonlinear Features for Voice Quality Measurement. In: Faundez-Zanuy, M., Janer, L., Esposito, A., Satue-Villar, A., Roure, J., Espinosa-Duro, V. (eds) Nonlinear Analyses and Algorithms for Speech Processing. NOLISP 2005. Lecture Notes in Computer Science(), vol 3817. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11613107_18
Download citation
DOI: https://doi.org/10.1007/11613107_18
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-31257-4
Online ISBN: 978-3-540-32586-4
eBook Packages: Computer ScienceComputer Science (R0)