Abstract
This work presents the development and analysis of an automatic recognizer of infant cry, with the objective of classifying three classes, normal, hypo acoustics and asphyxia. We use acoustic feature extraction techniques like MFCC, for the acoustic processing of the cry’s sound wave, and a Feed Forward Input Delay neural network with training based on Gradient Descent with Adaptive Back-Propagation for classification. We also use principal component analysis (PCA) in order to reduce vector’s size and to improve training time. The complete infant cry database is represented by plain text vector files, which allows the files to be easily processed in any programming environment. The paper describes the design, implementation as well as experimentation processes, and the analysis of results of each type of experiment performed.
Keywords
- Gradient Descent
- Delay Neural Network
- Feed Forward Input
- Acoustic Processing
- Apply Principal Component Analysis
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
References
Boersma, P., Weenink, D.: Praat v. 4.0.8. A system for doing phonetics by computer. Institute of Phonetic Sciences of the University of Amsterdam (February 2002)
Gold, B., Morgan, N.: Speech and Audio Signal Processing. In: Processing and Perception of Speech and Music, John Wiley & Sons, Inc., Chichester (2000)
Hyvarinen, Aapo (April 23 (1999), http://www.cis.hut.fi/aapo/papers/NCS99web/node5.html
Waibel, A., Hanazawa, T., Hinton, G., Shikano, K., Lang, K.: Phoneme Recognition Using Time-Delay Neural Networks. IEEE Transactions on Acoustics, Speech and Signal Processing 37(3), 328–339 (1989)
Fu, L.: Neural Networks in Computer Intelligence. McGraw-Hill International Editions. Computer Science Series (1994)
Wasz-Hockert, O., Lind, J., Vuorenkoski, V., Partanen, T., Valanne, E.: El Llanto en el Lactante y su Significación Diagnóstica, Cientifico-Medica, Barcelona (1970)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2005 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Reyes-Galaviz, O.F., Verduzco, A., Arch-Tirado, E., Reyes-García, C.A. (2005). Analysis of an Infant Cry Recognizer for the Early Identification of Pathologies. In: Chollet, G., Esposito, A., Faundez-Zanuy, M., Marinaro, M. (eds) Nonlinear Speech Modeling and Applications. NN 2004. Lecture Notes in Computer Science(), vol 3445. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11520153_25
Download citation
DOI: https://doi.org/10.1007/11520153_25
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-27441-4
Online ISBN: 978-3-540-31886-6
eBook Packages: Computer ScienceComputer Science (R0)