Acoustic Features Analysis for Recognition of Normal and Hypoacustic Infant Cry Based on Neural Networks-Reference-Cited by-同舟云学术

Acoustic Features Analysis for Recognition of Normal and Hypoacustic Infant Cry Based on Neural Networks

Published:2003 Issue: Volume: Page:615-622
ISSN:0302-9743
Container-title:Artificial Neural Nets Problem Solving Methods
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Author:

García José Orozco,García Carlos A. Reyes

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/3-540-44869-1_78

Reference11 articles.

1. Bosma, J. F., truby, H. M., & Antolop, W. Cry Motions of the Newborn Infant. Acta Paediatrica Scandinavica (Suppl.), 163, 61–92. 1965.

2. Sergio D. Cano, Daniel I. Escobedo y Eddy Coello, El Uso de los Mapas Auto-Organizados de Kohonen en la Clasificación de Unidades de Llanto Infantil, Grupo de Procesamiento de Voz, 1er Taller AIRENE, Universidad Catolica del Norte, Chile, 1999, pp 24–29.

3. Marco Petroni, Alfred S. Malowany, C. Celeste Johnston, Bonnie J. Stevens. Identification of pain from infant cry vocalizations using artificial neural networks (ANNs), The International Society for Optical Engineering. Volume 2492. Part two of two. Paper #: 2492-79. 1995. pp. 729–738.

4. O. Wasz-Hockert, J. Lind, V. Vuorenkoski, T. Partanen y E. Valanne, El Llanto en el Lactante y su Significación Diagnóstica, Cientifico-Medica, Barcelona, 1970.

5. Ekkel, T. “Neural Network-Based Classification of Cries from Infants Suffering from Hypoxia-Related CNS Damage”, Tesis de Maestría. University of Twente, 2002. The Netherlands.

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