informИнформатикаInformatics1816-03012617-6963UIIP NASBinform-101Research ArticleОБРАБОТКА СИГНАЛОВ, ИЗОБРАЖЕНИЙ, РЕЧИ, ТЕКСТА И РАСПОЗНАВАНИЕ ОБРАЗОВSIGNAL, IMAGE, SPEECH, TEXT PROCESSING AND PATTERN RECOGNITIONАЛГОРИТМ СРАВНЕНИЯ ФОНОГРАММ В ОБУЧАЮЩИХ СИСТЕМАХALGORITHM FOR PHONOGRAM COMPARISON IN E-LEARNING SYSTEMSКиселевВ. В.KiselevV. V.kiselev-v@speetech.byДавыдовА. Г.DavydauA. G.davydov-a@speetech.byТкаченяА. В.TkacheniaA. A.tkachenia-a@speetech.byООО «Речевые технологии»Russian Federation201301102016043035Copyright © Киселев В.В., Давыдов А.Г., Ткаченя А.В., 20162016Киселев В.В., Давыдов А.Г., Ткаченя А.В.Kiselev V.V., Davydau A.G., Tkachenia A.A.Данная работа распространяется под лицензией Creative Commons Attribution 4.0.This work is licensed under a Creative Commons Attribution 4.0 License.https://inf.grid.by/jour/article/view/101

Рассматривается алгоритм определения сходства между фонограммами на основе линейных спектральных частот и метода динамического программирования. Решается задача сравнения фо-нограмм как задача различения анализируемого сигнала, в котором присутствуют искажения и по-мехи с неизвестным началом, длительностью и нелинейным масштабом времени, и образца произно-шения. Приводится функциональная блок-схема рассматриваемого алгоритма.

An algorithm for determination of the degree of phonogram matching on the basis of linear spectral frequency and dynamic time warping is considered. The problem of phonogram comparison is handled as the problem of recognizing the analyzed speech signal, which contains a lot of distortion and noise with unknown beginning and duration, non-linear timescale, and unknown pronunciation sample. A functional diagram of the algorithm is presented.

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The authors declare that there are no conflicts of interest present.