Abstract
The paper reports work in progress on the methodology and experiments with speaker-independent speech recognition. The approach reported in the paper is based on the variable precision model of rough sets. The rough sets approach is adapted in the process of acquisition of recognition rules from training speech data whereas standard signal processing techniques are used on the level of feature extraction.
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© 1999 Springer-Verlag Berlin Heidelberg
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Brindle, D., Ziarko, W. (1999). Experiments with rough sets approach to speech recognition. In: RaÅ›, Z.W., Skowron, A. (eds) Foundations of Intelligent Systems. ISMIS 1999. Lecture Notes in Computer Science, vol 1609. Springer, Berlin, Heidelberg . https://doi.org/10.1007/BFb0095124
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DOI: https://doi.org/10.1007/BFb0095124
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