Abstract
This chapter concerns the neural networks application for automatic evaluation of pathological speech. The main goal of the presented works is to find the neural network based methods for objective acoustic evaluation of the degree of speech deformation. Neural networks’ ability to adapt and learn is well known and can be used for this goal, but the objective of this presentation is to define the degree to which the technique of neural networks can be applied in evaluation of speech deformation in a given type of pathology.
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Tadeusiewicz, R., Wszolek, W., and Modrzejewski, M. Acoustic Evaluation of Speech Signal Deformation in Person Treated for Glottis Cancer by Partial Larynx Excision. World Congress on Medical Physics and Biomedical Engineering, Nice, France, 14–19 Sep.1997
Tadeusiewicz, R., Wszolek, W., Izworski, A., and Modrzejewski, M. Application of Neural Networks in Diagnosis of Pathological Speech. In M. Heiss (ed.): Proceedings of the International ICSC/IFAC Symposium on Neural Computation NC ‘88, Vienna University of Technology, ICSC Academic Press, Canada/Switzerland, 1998, pp. 1040–1045
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Tadeusiewicz, R., Wszolek, W., and Modrzejewski, M. The evaluation of speech deformation treated for larynx cancer using the neural network and pattern recognition methods. In Bulsari A.B., Fernandez de Canete, S. Kallio (eds.): Engineering benefits from neural networks, Gibraltar, 1998, vol. 2, pp. 613—616.
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Tadeusiewicz, R. (2000). Application Of Neural Networks in the Diagnosis of Pathological Speech. In: Lisboa, P.J.G., Ifeachor, E.C., Szczepaniak, P.S. (eds) Artificial Neural Networks in Biomedicine. Perspectives in Neural Computing. Springer, London. https://doi.org/10.1007/978-1-4471-0487-2_12
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DOI: https://doi.org/10.1007/978-1-4471-0487-2_12
Publisher Name: Springer, London
Print ISBN: 978-1-85233-005-7
Online ISBN: 978-1-4471-0487-2
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