Abstract
In this paper, some results of the classification of spanish phonemes by means of Kohonen Self-Organizing Maps (SOM) are presented. These results show that SOM may be very useful in the previous steps of a continous speech recognizer, as well as a valuable aid in the signal phonetic segmentation process. This intermediate classification provides a new representation of the signal such that the “phonetic” gap between inputs and outputs of the recognizer is drastically reduced, so simplifying the task of the recognizer.
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References
Kohonen, T.: The “Neural” Phonetic Typewriter. IEEE Computer, March 1988. 11–22
Kohonen, T.: The Self-Organizing Map Proceedings of the IEEE. Vol. 78, N.9. September (1990)
Kohonen, T., Hynnimen, J., Kangas, J., Laaksonen, J.: The Self-Organizing Map Program Package version 3.1. SOM programming team of the university of technology. Laboratory of computer and information science. Finland. (1995)
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© 1999 Springer-Verlag Berlin Heidelberg
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Gardón, A.P., Vázquez, C.R., Illarramendi, A.A. (1999). Spanish Phoneme Classification by Means of a Hierarchy of Kohonen Self-Organizing Maps. In: Matousek, V., Mautner, P., Ocelíková, J., Sojka, P. (eds) Text, Speech and Dialogue. TSD 1999. Lecture Notes in Computer Science(), vol 1692. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-48239-3_33
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DOI: https://doi.org/10.1007/3-540-48239-3_33
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