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"Humanities and Science University Journal" № 7, 2014

Use of Articulatory Data in Tasks Related to the Automated Russian Speech Recognition

D. A. Kocharov
Price: 50 руб.
The article represents the results of tests in the automated interpretation of sounds in Russian speech by using articulatory data as differential indicators. The system utilizes a triple tier of recurrent neural network as a classifi er. Test results revealed a
high effi cacy of using articulatory data in resolving the task of automated identifi cation. Overall effi ciency of this system reaches 69%, while about 33% of the sounds are identifi ed with 100% accuracy.
Keywords: electromagnetic articulography, automatic speech recognition, speech processing, experimental phonetics, linguistics.
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