Automatic detection of hypernasal speech of children with cleft lip and palate from spanish vowels and words using classical measures and nonlinear analysis




automatic hypernasality detection, cleft lip and palate, perturbation measures, noise measures, nonlinear dynamics


This paper presents a system for the automatic detection of hypernasal speech signals based on the combination of two different characterization approaches applied to the five spanish vowels and two selected words. The first approach is based on classical features such as pitch period perturbations, noise measures, and Mel-Frequency Cepstral Coefficients (MFCC). The second approach is based on the Non-Linear Dynamics (NLD) analysis. The most relevant features are selected and sorted using two techniques: Principal Components Analysis (PCA) and Sequential Forward Floating Selection (SFFS). The decision about whether a voice record is hypernasal or healthy is taken using a Soft Margin - Support Vector Machine (SM-SVM). Experiments upon recordings of the five Spanish vowels and the words are performed considering three different set of features: (1) the classical approach, (2) the NLD analysis, and (3) the combination of the classical and NLD measures. In general, the accuracies are higher and more stable when the classical and NLD features are combined, indicating that the NLD analysis is complementary to the classical approach.

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Author Biographies

Juan Rafael Orozco-Arroyave, University of Antioquia

Faculty of Engineering.

Jesús Francisco Vargas-Bonilla, University of Antioquia

Faculty of Engineering.

Juan Camilo Vásquez-Correa, University of Antioquia

Faculty of Engineering.

Cesar German Castellanos-Domínguez, National University of Colombia

Faculty of Engineering and Architecture.

Elmar Nöth, Friedrich-Alexander University Erlangen-Nürnberg

Pattern Recognition Lab.


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How to Cite

Orozco-Arroyave, J. R., Vargas-Bonilla, J. F., Vásquez-Correa, J. C., Castellanos-Domínguez, C. G., & Nöth, E. (2016). Automatic detection of hypernasal speech of children with cleft lip and palate from spanish vowels and words using classical measures and nonlinear analysis. Revista Facultad De Ingeniería Universidad De Antioquia, (80), 109–123.

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