Abstract
In this work we present the design of an Automatic Infant Cry Recognizer hybrid system, that classifies different kinds of cries, with the objective of identifying some pathologies in recently born babies. These cries are recordings of normal, deaf and asphyxiating infants, of ages from 1 day up to one year old. For its acoustic processing we used a free software tool called Praat [1]. Additionally, we used Matlab to implement the system, based on ANFIS [2], to classify the infant’s crying. In the model here presented, we classify the input vectors in three corresponding classes, normal cry, hypo acoustic (deaf) and asphyxiating cries. We have obtained scores up to 96 % in precision on the classification.
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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)
Jang, J.-S.R.: ANFIS: Adaptive Network-based Fuzzy Inference System. IEEE Transactions on Systems, Man, and Cybernetics 23(03), 665–685 (1993)
Chin-Teng, L., George Lee, C.S.: Neural Fuzzy System: A Neuro-Fuzzy Synergism to Intelligent Systems. Prentice Hall, Upper Saddle River (1996)
Cano, S.D., Escobedo, D.I., Coello, E.: El Uso de los Mapas Auto- Organizados de Kohonen en la Clasificación de Unidades de Llanto Infantil, Grupo de Procesamiento de Voz. In: 1er Taller AIRENE, Universidad Catolica del Norte, Chile, pp. 24–29 (1999)
Wasz-Hockert, O., Lind, J., Vuorenkoski, V., Partanen, T., Valanne, E.: El Llanto en el Lactante y su Significación Diagnóstica, Cientifico-Medica, Barcelona (1970)
Ekkel, T.: Neural Network-Based Classification of Cries from Infants Suffering from Hypoxia- Related CNS Damage, Master Thesis. University of Twente, The Netherlands (2002)
Monakow, C., Morgue, R.: Introduction a l’étude de la neurologie et de la psychopathologie. Integration et désintégration de la function. Alcan, Paris (1928)
Yoshinaga-Itano 1998, quoted in he High Cost Of Hearing Lost; What Our Publics Need to Know, Donald Radcliffe. The Hearing Journal, 51(5) (May 1998)
Yoshinaga-Itano, C., Appusso, M.L.: The development of deaf and hard of hearing children identified through the high-risk registry. The American Annals of the deaf 143, 416–424 (1998)
Reyes-Galaviz, O.F., Reyes-Garcia, C.: Recognition of Patterns of Infant Cry for the Early Identification of Hypo acoustics and Asphyxia with Neural Networks. WSEAS Transactions on Acoustics and Music 1(1), 56–61 (2004) ISSN 1109-9577
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Reyes-Galaviz, O.F., Tirado, E.A., Reyes-Garcia, C.A. (2004). Classification of Infant Crying to Identify Pathologies in Recently Born Babies with ANFIS. In: Miesenberger, K., Klaus, J., Zagler, W.L., Burger, D. (eds) Computers Helping People with Special Needs. ICCHP 2004. Lecture Notes in Computer Science, vol 3118. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-27817-7_60
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DOI: https://doi.org/10.1007/978-3-540-27817-7_60
Publisher Name: Springer, Berlin, Heidelberg
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