Acoustic features in the identification of the hypernasality of children
DOI:
https://doi.org/10.51445/sja.auditio.vol3.2006.0039Keywords:
Acoustic features, hypernasality, resonance, pathologyAbstract
The analysis of the different acoustic characteristics and their influence on the automatic identification of hypernasality is presented. The methodology of effective selection of characteristics includes the pre-processing of the initial space of observations and it is based on the analysis of statistical independence. In parallel, the synthesis of a specialized diagnostic feature is proposed, based on the analysis of the acoustic emission of the hypernasal voice. As a result, it is obtained that, although the acoustic characteristics allow differentiating the pathology with sufficient precision, the proposed characteristic with a lower level of computational complexity, does not require samples for training and allows differentiating the degrees of resonance compromise of the pathology.
Downloads
Visibility and Altmetrics
Metrics
References
G. Castellanos, F. Prieto, C. Quintero. Análisis acústico de voz y de posturas labiales en pacientes de 5 a 15 años con labio y/o paladar hendido corregido en la zona centro del país. Informe Colciencias. Diciembre 2004.
D. A. Cairns, J. H. L. Hansen, and J. E. Riski. A noninvasive technique for detecting hipernasal speech using a nonlinear operador. IEEE Transaction on Biomedical Engineering, 1996. https://doi.org/10.1109/10.477699
G. Niedzielska. Acoustic analysis in the diagnosis of voice disorders in children. International Journal in Pediatric Otorhinolaryngology, 2000.
J. González, T. Cervera, and J. L. Miralles. Análisis acústico de la voz: Fiabilidad de un conjunto de parámetros multidimensionales. Acta Otorrinolaringol, 2002. https://doi.org/10.1016/S0001-6519(02)78309-X
G. Niedzielska, E. Glijer, and A. Niedzielski. Acoustic analysis of voice in children with noduli vocales. International Journal in Pediatric Otorhinolaryngology, 2001. https://doi.org/10.1016/S0165-5876(01)00506-7
P. Yu, M. Ouaknine, J. Revis, and A. Giovanni. Objective voice analysis for dysphonic patients: A multiparametric protocol including acoustic and aerodynamic measurements. Journal of Voice, 2001.
S. Hadjitodorov and P.Mitev. A computer system for acoustic analysis of pathological voices and laryngeal diseases screening. Medical Engineering and Physics, 2002. https://doi.org/10.1016/S1350-4533(02)00031-0
R. D. Kent, H. Vorperian, and J. Kent. Voice dysfunction in dysarthria: apllication of the multi - dimensional voice program. Journal of communication Disorders, 2003. https://doi.org/10.1016/S0021-9924(03)00016-9
M. Gupta and A. Gilbert. Robust speech recognition using wavelet coefficients features. 2001.
I. Gavat,M. Zirra, and V. Enescu. Pitch detection speech by dyadic wavelet transform, 1997.
Adriane Parraga. APLICACIAO da Transformada Wavelet Packetna Análise e CLASSIFICACIAO de sinais de vozes patológicas, Ph.D. thesis, Universida de Federal do Rio Grande do Sul, Porto Alegre, 2002. 12. A. Habbaby. Enfoque integral del niño con fisura labiopalatina. Buenos Aires: Médica Panamericana, 2002.
Mathias Frohlich. and Dirk Michaelis. Acustic voice analysis by mean of the hoarseness diagram, Journal of Speech, Language and hearing research, vol. 3, no. 43, pp. 706, 2000. https://doi.org/10.1044/jslhr.4303.706
G. Castellanos, O. D. Castrillón, and E. Guijarro. Multivariate analysis techniques for effective feature selection in voice pathologies, CASEIB, 2004.
Baken R. J. Clinical Measurement of Speech and Voice, 401 West A Street, Suite 325, San Diego, California 92101-7904, 1996.
Mathias Frohlich. and Dirk Michaelis. Acustic voice analysis by mean of the hoarseness diagram. Journal of Speech, Language and hearing research, vol. 3, no. 43, pp. 706, 2000. https://doi.org/10.1044/jslhr.4303.706
Published
Versions
- 2021-09-15 (2)
- 2006-12-01 (1)
How to Cite
Issue
Section
License
Copyright (c) 2006 Auditio
This work is licensed under a Creative Commons Attribution 3.0 Unported License.
Articles published after 2020
Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed, unless otherwise indicated, under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal. The authors can choose between the following Creative Commons licenses: https://creativecommons.org/about/cclicenses/
Articles published between 2001 and 2020
The texts published in this journal in the section "AUDITIO 2001-2020" are subject - unless otherwise indicated - to a Creative Commons Attribution 3.0 Spain license. You can copy, distribute, communicate them publicly, make derivative works and commercial uses provided that you acknowledge the credits of the works (authorship, name of the journal, publishing institution) in the manner specified by the authors or by the journal. The full license can be consulted at http://creativecommons.org/licenses/by/3.0/es/deed.es.