NDLI: Nonlinear Dynamics for Hypernasality Detection in Spanish Vowels and Words

Content Provider	Springer Nature Link
Author	Orozco Arroyave, J. R. Vargas Bonilla, J. F. Arias Londoño, J. D. Murillo Rendón, S. Castellanos Domínguez, G. Garcés, J. F.
Copyright Year	2012
Abstract	A novel technique for characterizing hypernasal vowels and words using nonlinear dynamics is presented considering different complexity measures that are mainly based on the analysis of the time-delay embedded space. After the characterization stage, feature selection is performed by means of two different strategies: principal components analysis and sequential floating feature selection. The final decision about the presence or absence of hypernasality is carried out using a Soft Margin-Support Vector Machine. The database used in the study is composed of the five Spanish vowels uttered by 266 children, 110 healthy and 156 labeled as hypernasal by a experienced voice therapist. The database also includes the words /coco/ and /gato/ uttered by 119 children; 65 of which were diagnosed as hypernasal and the rest 54 as healthy. The results are presented in terms of accuracy, sensitivity and specificity. ROC curves are also included as a widely accepted way to measure the performance of a detection system. The experiments show that the proposed methodology achieves an accuracy of up to 92.08 % using, together, the best subset of features extracted from every vowel and 89.09 % using the combination of the most relevant features in the case of words.
Starting Page	448
Ending Page	457
Page Count	10
File Format	PDF
ISSN	18669956
Journal	Cognitive Computation
Volume Number	5
Issue Number	4
e-ISSN	18669964
Language	English
Publisher	Springer US
Publisher Date	2012-07-31
Publisher Place	Boston
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Nonlinear dynamics Complexity measures Hypernasality Speech signals Neurosciences Computation by Abstract Devices Artificial Intelligence (incl. Robotics) Computational Biology/Bioinformatics
Content Type	Text
Resource Type	Article
Subject	Cognitive Neuroscience Computer Science Applications Computer Vision and Pattern Recognition

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
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3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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