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Title of Article

STATISTIC METHODS FOR AUTOMATIC SPEECH RECOGNITION


Issue
2
Date
2015

Article type
scientific article
UDC
621.391.2: 519.72
Pages
376-379
Keywords
 


Authors
Grachev A.M.
Nizhegorodskiy filial Moskovskogo gumanitarno-ekonomicheskogo instituta


Abstract
The article is devoted to the ananysis of modern systems where statistical methods of speech recognition are used. Phonetic models are built automatically during training of recognition system. In the next decade, the problem of recognition and understanding of the natural speech of the speaker will be a central part of speech technologies.

File (in Russian)