Abstract
This paper investigates the adaptation of modified wavelet-based features and support vector machines for vocal folds pathology detection. A new type of feature vector, based on continuous wavelet transform of input audio data is proposed for this task. Support vector machine was used as a classifier for testing the feature extraction procedure. The results of the experimental study are shown.
The paper is supported by ISTC grant, project B-1375.
Chapter PDF
References
Alonso, J.B., de Leon, J., Alonso, I., Ferrer, M.A.: Automatic Detection of Pathologies in the Voice by HOS Based PArameters. EURASIP Journal on Applied Signal Processing 4, 275–284 (2001)
Gavidia-Ceballos, L., Hansen, J., Kaiser, J.: A Non-Linear Based Speech Feature Analysis Method with Application to Vocal Fold Pathology Assessment. IEEE Trans. Biomedical Engineering 45(3), 300–313
Manfredi, C.: Adaptive Noise Energy Estimation in Pathological Speech Signals. IEEE Trans. Biomedical Engineering 47(11), 1538–1543 (2000)
Wallen, E.J., Hansen, J.H.: A Screening Test for Speech Pathology Assessment Using Objective Quality Measures. In: ICSLP 1996, vol. 2, pp. 776–779 (1996)
Fredouille, C.: Application of Automatic Speaker Recognition techniques to pathological voice assessment (dysphonia). In: Proc. of Eurospeech (2005)
Maguire, C.: Identification of voice pathology using automated speech analysis. In: Third International Workshop on Models and Analysis of Vocal Emission for Biomedical Applications, Florence, Italy (2003)
Mallat, S.: A wavelet tour of signal processing. Academic, San Diego (1998)
Cristianini, N., Shawe-taylor, J.: Introduction to Support Vector Machines, p. 139. Cambridge University Press, Cambridge (2001)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2008 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Kukharchik, P., Kheidorov, I., Bovbel, E., Ladeev, D. (2008). Speech Signal Processing Based on Wavelets and SVM for Vocal Tract Pathology Detection. In: Elmoataz, A., Lezoray, O., Nouboud, F., Mammass, D. (eds) Image and Signal Processing. ICISP 2008. Lecture Notes in Computer Science, vol 5099. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-69905-7_22
Download citation
DOI: https://doi.org/10.1007/978-3-540-69905-7_22
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-69904-0
Online ISBN: 978-3-540-69905-7
eBook Packages: Computer ScienceComputer Science (R0)