SciELO - Scientific Electronic Library Online

 
 issue80Hibernate and spring - An analysis of maintainability against performanceMachine vision system for weed detection using image filtering in vegetables crops author indexsubject indexarticles search
Home Pagealphabetic serial listing  

Services on Demand

Journal

Article

Indicators

Related links

  • On index processCited by Google
  • Have no similar articlesSimilars in SciELO
  • On index processSimilars in Google

Share


Revista Facultad de Ingeniería Universidad de Antioquia

Print version ISSN 0120-6230

Abstract

OROZCO-ARROYAVE, Juan Rafael et al. Automatic detection of hypernasal speech of children with cleft lip and palate from spanish vowels and words using classical measures and nonlinear analysis. Rev.fac.ing.univ. Antioquia [online]. 2016, n.80, pp.109-123. ISSN 0120-6230.  https://doi.org/10.17533/udea.redin.n80a12.

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 /coco/ and /gato/ 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.

Keywords : Automatic hypernasality detection; cleft lip and palate; perturbation measures; noise measures; nonlinear dynamics.

        · abstract in Spanish     · text in English     · English ( pdf )