Abstract
This paper summarizes a statistical study of a set of glottal features with the ultimate aim of measuring their capacity to discriminate and detect vocal pathology. The study is concentrated in the analysis of relevance of a set of features obtained from the analysis of phonated speech, specifically an open vowel as /ah/. The speech signal was inversely filtered to obtain the glottal source, which on its turn was used to generate a set of 72 features, describing its biometrical and biomechanical properties, among others. The study of relevance is based on factorial analysis, parametrical and non-parametrical hypothesis tests and effect size analysis, with the aim of assessing the pathologic/normophonic condition of the speaker. The validation of the results is based on discriminant analysis. The conclusions allow establishing the most relevant features and feature families for pathological voice detection. High classification rates are obtained in many cases.
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References
Hirano, M., et al.: Acoustic analysis of pathological voice: some results of clinical application. Acta Otolaryngologica 105(5–6), 432–438 (1988)
Gómez, P., et al.: Glottal Source biometrical signature for voice pathology detection. Speech Commun. 51, 759–781 (2009)
Alku, P.: An automatic method to estimate the time-based parameters of the glottal pulseform. In: ICASSP’92, pp. II/29–32 (1992)
Alku, P.: Parameterisation methods of the glottal flow estimated by inverse filtering. In: Proceedings of VOQUAL’03, pp. 81–87 (2003)
Härdle, W., Simar, L.: Applied Multivariate Statistical Analysis, vol. 22007. Springer, Berlin (2007)
Ho, R.: Handbook of Univariate and Multivariate Data Analysis and Interpretation with SPSS. CRC Press, Florida (2006)
Hopkins, W.G.: A new view of statistics. http://www.sportsci.org/resource/stats/index.html (2000)
Klecka, W.R. (ed.): Discriminant Analysis, vol. 19. Sage, USA (1980)
Ruiz, M.T., Verbrugge, L.M.: A two way view of gender bias in medicine. J. Epidemiol. Community Health 51, 106–109 (1997)
Gómez, P., et al.: PCA of perturbation parameters in voice pathology detection. In: Actas de INTERSPEECH-2005, pp. 645–648 (2005)
Acknowledgments
This work is being funded by grants TEC2012-38630-C04-01 and TEC2012-38630-C04-04 from Plan Nacional de I+D+i, Ministry of Economic Affairs and Competitiveness of Spain
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Lázaro-Carrascosa, C., Gómez-Vilda, P. (2016). Assessing a Set of Glottal Features from Vocal Fold Biomechanics. In: Esposito, A., et al. Recent Advances in Nonlinear Speech Processing. Smart Innovation, Systems and Technologies, vol 48. Springer, Cham. https://doi.org/10.1007/978-3-319-28109-4_21
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DOI: https://doi.org/10.1007/978-3-319-28109-4_21
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