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Article

Fuzzy Phonetic Decoding Method in a Phoneme Recognition Problem

Lecture Notes in Artificial Intelligence. 2013. Vol. 7911. P. 176-183.
Savchenko A. V., Savchenko L. V.

The definition of a phoneme as a fuzzy set of minimal speech units from the model database is proposed. On the basis of this definition and the Kullback-Leibler minimum information discrimination principle the novel phoneme recognition algorithm has been developed as an enhancement of the phonetic decoding method. The experimental results in the problems of isolated vowels recognition and word recognition in Russian are presented. It is shown that the proposed method is characterized by the increase of recognition accuracy and reliability in comparison with the phonetic decoding method