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Acoustic Feature Analysis for Hypernasality Detection in Children
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Author(s): Genaro Daza (Universidad Nacional de Colombia Sede Manizales, Colombia), Luis Gonzalo Sánchez (Universidad Nacional de Colombia Sede Manizales, Colombia), Franklin A. Sepúlveda (Universidad Nacional de Colombia Sede Manizales, Colombia)and Castellanos D. Germán (Universidad Nacional de Colombia Sede Manizales, Colombia)
Copyright: 2008
Pages: 7
Source title:
Encyclopedia of Healthcare Information Systems
Source Author(s)/Editor(s): Nilmini Wickramasinghe (Illinois Institute of Technology, USA)and Eliezer Geisler (Illinois Institute of Technology, USA)
DOI: 10.4018/978-1-59904-889-5.ch003
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Abstract
The present work analyzes the statistical effectiveness of different acoustic features in the automatic identification of hypernasality. Acoustic features reflect part of information contained in perceptual analysis; in part, due to their estimation is derived directly or indirectly from the vocal cords behavior. Consequently, it is convenient to apply multivariate analysis techniques in determining the effectiveness of voice features. The effectiveness is studied by using multivariate analysis techniques that are meant for feature extraction and feature selection, as well (latent variable models, heuristic search algorithms).
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