Contribution from the accuracy of phoneme recognition to the quality of automatic recognition of Russian speech


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Abstract

The dependence of the quality of automatic recognition of Russian speech on the accuracy of feature descriptions and their distribution model is considered. A list of eight phonemes is given whose accuracy of recognition makes the greatest contribution to the quality of speech recognition.

About the authors

I. A. Karpukhin

Department of Computational Mathematics and Cybernetics

Author for correspondence.
Email: karpuhini@yandex.ru
Russian Federation, Moscow, 119899

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