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Acoustic Feature Analysis for Hypernasality Detection in Children

Acoustic Feature Analysis for Hypernasality Detection in Children

Genaro Daza, Luis Gonzalo Sánchez, Franklin A. Sepúlveda, Castellanos D. Germán
Copyright: © 2008 |Pages: 7
ISBN13: 9781599048895|ISBN10: 1599048892|EISBN13: 9781599048901
DOI: 10.4018/978-1-59904-889-5.ch003
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MLA

Daza, Genaro, et al. "Acoustic Feature Analysis for Hypernasality Detection in Children." Encyclopedia of Healthcare Information Systems, edited by Nilmini Wickramasinghe and Eliezer Geisler, IGI Global, 2008, pp. 16-22. https://doi.org/10.4018/978-1-59904-889-5.ch003

APA

Daza, G., Sánchez, L. G., Sepúlveda, F. A., & Germán, C. D. (2008). Acoustic Feature Analysis for Hypernasality Detection in Children. In N. Wickramasinghe & E. Geisler (Eds.), Encyclopedia of Healthcare Information Systems (pp. 16-22). IGI Global. https://doi.org/10.4018/978-1-59904-889-5.ch003

Chicago

Daza, Genaro, et al. "Acoustic Feature Analysis for Hypernasality Detection in Children." In Encyclopedia of Healthcare Information Systems, edited by Nilmini Wickramasinghe and Eliezer Geisler, 16-22. Hershey, PA: IGI Global, 2008. https://doi.org/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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