Сибирский федеральный университет

Тип публикации: доклад, тезисы доклада, статья из сборника материалов конференций

Конференция: International Scientific Conference on Applied Physics, Information Technologies and Engineering (APITECH) / 2-nd International Scientific and Practical Conference on Borisov's Readings; Siberian Fed Univ, Polytechn Inst, Krasnoyarsk, RUSSIA; Siberian Fed Univ, Polytechn Inst, Krasnoyarsk, RUSSIA

Год издания: 2019

Идентификатор DOI: 10.1088/1742-6596/1399/3/033033

Аннотация: This work is devoted to the development and study of the procedural processing of speech signals using recurrent neural networks. Our method for speech recognition was a connectionist temporal classification based on networks of long short-term memory. The main goal of this work was to study the specifics of the Russian language, to develop methods and algorithms for converting oral speech into text based on artificial neural networks. The final recognition coefficient is about 62%. © Published under licence by IOP Publishing Ltd.

Журнал: Journal of Physics: Conference Series

Выпуск журнала: Vol. 1399, Is. 3

Номера страниц: 33033

ISSN журнала: 17426588

Издатель: Institute of Physics Publishing

• Medvedev M.S. (Siberian Fed Univ, Inst Space & Informat Technol, 26 Kirenskogo St, Krasnoyarsk 660074, Russia)
• Okuntsev Y.V (Siberian Fed Univ, Inst Space & Informat Technol, 26 Kirenskogo St, Krasnoyarsk 660074, Russia)

• Scopus
• Web of Science Core Collection
• Ядро РИНЦ (eLIBRARY.RU)