Abstract
The inference methods which are proposed in Syntactic Pattern Recognition in practice only make use of positive data and generate a heuristic generalization of strings in the data. However, the use of positive data becomes insufficient when very discriminatory models are needed. This is the case of Difficult Vocabularies in Isolated Word Recognition tasks. This paper is a first attempt at using positive and negative data that presents two main characteristics: it respects the computational efficiency with moderate-sized training sets, and it is suitable for tasks in Syntactic Pattern Recognition, specifically in Automatic Speech Recognition.
Supported in part by the Spanish CICYT, under grant TIC 89/0448.
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References
Forney, G.D.: The Viterbi Algorithm. IEEE proc. N.3, pp 268–278 (1973).
Fu, K.S. and Booth, T.L.: Grammatical Inference Introduction and Survey, parts 1 and 2. IEEE Trans Syst. Man Cybern. SMC-5, pp 95–111 409–423 (1975).
Fu, K.S.: Syntactic Pattern Recognition and Applications. Prentice-Hall 1982.
García, P., Vidal E. and Casacuberta, F.: Local Languages, the successor method, and a step towards a general methodology for the inference of regular grammars. IEEE Trans. on PAMI, Vol Pami-9, N.6, pp 841–845 (1987).
García, P. and Vidal, E.: Inference of K-Testable Languages in the Strict Sense and Application to Syntactic Pattern Recognition. IEEE Trans. on PAMI, Vol PAMI-12, N.9, pp 920–925 (1990).
Huang, X.D. and Jack, M.A.: Semi-continuous Hidden Markov Models for Speech Recognition. Computer Speech and Language, N.3, pp 239–251 (1989).
Vidal, E., García, P., Segarra, E. and Galiano, I.: Multi-speaker experiments with the Morphic Generator Grammatical Inference methodology. In NATO-ASI Recents Advances in Speech Understanding and Dialog Systems. H. Nieman, M. Lang and G. Sagerer (eds.), pp323–327, Springer Verlag 1988.
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© 1992 Springer-Verlag Berlin Heidelberg
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Segarra, E., García, P., Oncina, J.M., Suarez, A. (1992). On the use of Negative Samples in the MGGI Methodology and its application for Difficult Vocabulary Recognition Tasks. In: Laface, P., De Mori, R. (eds) Speech Recognition and Understanding. NATO ASI Series, vol 75. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-76626-8_52
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DOI: https://doi.org/10.1007/978-3-642-76626-8_52
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