title: ÐÐ¾Ð»Ð¸ÑÐµÑÑÐ²ÐµÐ½Ð½ÑÐ¹ Ð°Ð½Ð°Ð»Ð¸Ð· ÑÐµÐºÑÑÑÐµÐ½ÑÐ½Ð¾ÑÑÐ¸ Ð¿ÑÐ¾ÑÐ¾Ð´Ð¸ÑÐµÑÐºÐ¸Ñ Ñ Ð°ÑÐ°ÐºÑÐµÑÐ¸ÑÑÐ¸Ðº ÑÐµÑÐµÐ²Ð¾Ð³Ð¾ ÑÐ¸Ð³Ð½Ð°Ð»Ð° Ð² ÑÐ¸ÑÑÐµÐ¼Ð°Ñ Ð¾Ð±ÑÑÐµÐ½Ð¸Ñ Ð¿ÑÐ¾Ð¸Ð·Ð½Ð¾ÑÐµÐ½Ð¸Ñ
title: Ð²ÑÐ¿ÑÑÐºÐ½Ð°Ñ ÐºÐ²Ð°Ð»Ð¸ÑÐ¸ÐºÐ°ÑÐ¸Ð¾Ð½Ð½Ð°Ñ ÑÐ°Ð±Ð¾ÑÐ° Ð¼Ð°Ð³Ð¸ÑÑÑÐ°
titleType: Subtitle
title: Recurrence quantification analysis of prosodic characteristics of a speech signal in computer-assisted pronunciation training systems
Creators: name: ÐÑÐ¹ÐºÐ¾Ð², ÐÑÑÐµÐ¼
Publisher: name: Ð¡Ð°Ð½ÐºÑ-ÐÐµÑÐµÑÐ±ÑÑÐ³ÑÐºÐ¸Ð¹ Ð¿Ð¾Ð»Ð¸ÑÐµÑÐ½Ð¸ÑÐµÑÐºÐ¸Ð¹ ÑÐ½Ð¸Ð²ÐµÑÑÐ¸ÑÐµÑ ÐÐµÑÑÐ° ÐÐµÐ»Ð¸ÐºÐ¾Ð³Ð¾
Year: 2021
Subjects: ÐºÐ¾Ð¼Ð¿ÑÑÑÐµÑÐ½ÑÐµ ÑÐ¸ÑÑÐµÐ¼Ñ Ð¾Ð±ÑÑÐµÐ½Ð¸Ñ Ð¿ÑÐ¾Ð¸Ð·Ð½Ð¾ÑÐµÐ½Ð¸Ñ
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ÑÐ°ÑÑÐ¾ÑÐ° Ð¾ÑÐ½Ð¾Ð²Ð½Ð¾Ð³Ð¾ ÑÐ¾Ð½Ð° ÑÐµÑÐ¸
ÑÐ¾Ð½ÐµÑÐ¸ÐºÐ°

description: Ð¢ÐµÐ¼Ð° Ð²ÑÐ¿ÑÑÐºÐ½Ð¾Ð¹ ÐºÐ²Ð°Ð»Ð¸ÑÐ¸ÐºÐ°ÑÐ¸Ð¾Ð½Ð½Ð¾Ð¹ ÑÐ°Ð±Ð¾ÑÑ: Â«ÐÐ¾Ð»Ð¸ÑÐµÑÑÐ²ÐµÐ½Ð½ÑÐ¹ Ð°Ð½Ð°Ð»Ð¸Ð· ÑÐµÐºÑÑÑÐµÐ½ÑÐ½Ð¾ÑÑÐ¸ Ð¿ÑÐ¾ÑÐ¾Ð´Ð¸ÑÐµÑÐºÐ¸Ñ ÑÐ°ÑÐ°ÐºÑÐµÑÐ¸ÑÑÐ¸Ðº ÑÐµÑÐµÐ²Ð¾Ð³Ð¾ ÑÐ¸Ð³Ð½Ð°Ð»Ð° Ð² ÑÐ¸ÑÑÐµÐ¼Ð°Ñ Ð¾Ð±ÑÑÐµÐ½Ð¸Ñ Ð¿ÑÐ¾Ð¸Ð·Ð½Ð¾ÑÐµÐ½Ð¸ÑÂ». ÐÐ·ÑÑÐµÐ½Ð¸Ðµ Ð¸Ð½Ð¾ÑÑÑÐ°Ð½Ð½Ð¾Ð³Ð¾ ÑÐ·ÑÐºÐ° ÑÐ²Ð»ÑÐµÑÑÑ ÑÐ»Ð¾Ð¶Ð½Ð¾Ð¹ Ð·Ð°Ð´Ð°ÑÐµÐ¹ Ñ ÑÐ¾ÑÐºÐ¸ Ð·ÑÐµÐ½Ð¸Ñ ÐºÐ°Ðº ÑÑÐµÐ½Ð¸ÐºÐ°, ÑÐ°Ðº Ð¸ Ð¿ÑÐµÐ¿Ð¾Ð´Ð°Ð²Ð°ÑÐµÐ»Ñ. Ð ÑÑÐµÑÐµ ÐºÐ¾Ð¼Ð¿ÑÑÑÐµÑÐ½ÑÑ ÑÐ¸ÑÑÐµÐ¼ Ð¾Ð±ÑÑÐµÐ½Ð¸Ñ Ð¿ÑÐ¾Ð¸Ð·Ð½Ð¾ÑÐµÐ½Ð¸Ñ (computer-assisted pronunciation training, CAPT), Ð¿ÑÐµÐ´Ð½Ð°Ð·Ð½Ð°ÑÐµÐ½Ð½ÑÑ Ð´Ð»Ñ Ð¸Ð·ÑÑÐµÐ½Ð¸Ñ Ð½Ð°Ð´Â­ÑÐµÐ³Ð¼ÐµÐ½ÑÐ½ÑÑ ÑÐ²Ð»ÐµÐ½Ð¸Ð¹ ÑÐ°ÐºÐ¸Ñ ÐºÐ°Ðº ÑÐ¸ÑÐ¼, Ð²ÑÑÐ¾ÑÐ° ÑÐ¾Ð½Ð° Ð¸ ÑÑÐ°Ð·Ð¾Ð²Ð°Ñ Ð¸Ð½Â­ÑÐ¾Ð½Ð°ÑÐ¸Ñ, ÑÑÑÐµÑÑÐ²ÑÐµÑ Ð¼Ð½Ð¾Ð³Ð¾ Ð½ÐµÑÐµÑÐµÐ½Ð½ÑÑ Ð·Ð°Ð´Ð°Ñ. ÐÐ´Ð½Ð¾Ð¹ Ð¸Ð· Ð¿ÑÐ¾Ð±Ð»ÐµÐ¼ ÑÐ²Ð»ÑÐµÑÑÑ Ð¿ÑÐµÐ´Ð¾ÑÑÐ°Ð²Ð»ÐµÐ½Ð¸Ðµ ÑÑÐ°ÑÐµÐ¼ÑÑÑ Ð¾Ð±ÑÐµÐºÑÐ¸Ð²Ð½ÑÑ Ð¼ÐµÑÑÐ¸Ðº, Ð¾ÑÐ½Ð¾Ð²Ð°Ð½Â­Ð½ÑÑ Ð½Ð° Ð¾ÑÐµÐ½ÐºÐµ ÑÐ¾ÑÐ½Ð¾ÑÑÐ¸ Ð²Ð¾ÑÐ¿ÑÐ¾Ð¸Ð·Ð²ÐµÐ´ÐµÐ½Ð¸Ñ Ð¸Ð½ÑÐ¾Ð½Ð°ÑÐ¸Ð¸. Ð Ð´Ð°Ð½Ð½Ð¾Ð¹ ÑÐ°Ð±Ð¾ÑÐµ Ð² CAPT ÑÐ¸ÑÑÐµÐ¼Ðµ StudyIntonation ÑÐµÑÐ°ÐµÑÑÑ Ð·Ð°Â­Ð´Ð°ÑÐ° Ð¾ÑÐµÐ½ÐºÐ¸ ÑÑÐ¾Ð´ÑÑÐ²Ð° Ð¸Ð½ÑÐ¾Ð½Ð°ÑÐ¸Ð¾Ð½Ð½ÑÑ ÐºÐ¾Ð½ÑÑÑÐ¾Ð² Ð¼Ð¾Ð´ÐµÐ»Ð¸ Ð¸ ÑÑÐ°ÑÐµÐ³Ð¾Â­ÑÑ. ÐÐ»Ñ ÑÑÐ¾Ð³Ð¾ Ð¸Ð·ÑÑÐµÐ½ Ð¸ Ð¿ÑÐ¸Ð¼ÐµÐ½ÐµÐ½ ÐºÐ¾Ð»Ð¸ÑÐµÑÑÐ²ÐµÐ½Ð½ÑÐ¹ Ð°Ð½Ð°Ð»Ð¸Ð· ÑÐµÐºÑÑÑÐµÐ½ÑÂ­Ð½Ð¾ÑÑÐ¸ (RQA), ÐºÐ¾ÑÐ¾ÑÑÐ¹ Ð²Ð²Ð¾Ð´Ð¸Ñ ÐºÐ¾Ð»Ð¸ÑÐµÑÑÐ²ÐµÐ½Ð½ÑÐµ Ð¼ÐµÑÑÐ¸ÐºÐ¸, ÑÑÐ¸ÑÑÐ²Ð°Â­ÑÑÐ¸Ðµ Ð½ÐµÐ»Ð¸Ð½ÐµÐ¹Ð½ÑÑ Ð¿ÑÐ¸ÑÐ¾Ð´Ñ ÑÐµÑÐ¸. ÐÐ° Ð¾ÑÐ½Ð¾Ð²Ðµ Ð½Ð°Ð±Ð¾ÑÐ° Ð·Ð°Ð´Ð°Ð½Ð¸Ð¹, Ð²ÑÐ¿Ð¾Ð»Ð½ÐµÐ½Ð½ÑÑ Ð¿Ð¾Ð»ÑÐ·Ð¾Ð²Ð°ÑÐµÐ»ÑÐ¼Ð¸ Ð¿ÑÐ¸ ÑÐ°Ð±Ð¾ÑÐµ Ñ ÑÐ¸ÑÑÐµÐ¼Ð¾Ð¹ StudyIntonation, ÑÐ¾Ð·Ð´Ð°Ð½ Ð´Ð°ÑÐ°ÑÐµÑ Ñ Ð²ÑÑÐ¸ÑÐ»ÐµÐ½Ð½ÑÐ¼Ð¸ Ð¼ÐµÑÑÐ¸ÐºÐ°Ð¼Ð¸ RQA; Ð¾Ð±ÑÑÐµÐ½ ÐºÐ»Ð°ÑÑÐ¸ÑÐ¸Â­ÐºÐ°ÑÐ¾Ñ, Ð¾Ð¿ÑÐµÐ´ÐµÐ»ÑÑÑÐ¸Ð¹ ÑÐ¾Ð¾ÑÐ²ÐµÑÑÑÐ²Ð¸Ðµ Ð´Ð²ÑÑ Ð¸Ð½ÑÐ¾Ð½Ð°ÑÐ¸Ð¾Ð½Ð½ÑÑ ÐºÐ¾Ð½ÑÑÑÐ¾Ð². ÐÐ¾ Ð²ÑÑÐ¾Ð´Ð½Ð¾Ð¼Ñ Ð·Ð½Ð°ÑÐµÐ½Ð¸Ñ ÐºÐ»Ð°ÑÑÐ¸ÑÐ¸ÐºÐ°ÑÐ¾ÑÐ° Ð¿ÑÐ¸Ð½Ð¸Ð¼Ð°ÐµÑÑÑ ÑÐµÑÐµÐ½Ð¸Ðµ Ð¾Ð± ÑÑÐ¿ÐµÑÐ½Ð¾ÑÑÐ¸ Ð²ÑÐ¿Ð¾Ð»Ð½ÐµÐ½Ð¸Ñ Ð·Ð°Ð´Ð°Ð½Ð¸Ñ. Ð Ð°ÑÑÐµÑ Ð¼ÐµÑÑÐ¸Ðº, Ð° ÑÐ°ÐºÐ¶Ðµ ÐºÐ»Ð°ÑÑÐ¸Â­ÑÐ¸ÐºÐ°ÑÐ¾Ñ Ð¸Ð½ÑÐµÐ³ÑÐ¸ÑÐ¾Ð²Ð°Ð½Ñ Ð² ÑÐ´ÑÐ¾ StudyIntonation.
description: The subject of the graduate qualification work is Â«Recurrence quantification analysis of prosodic characteristics of a speech signal in computer-assisted pronunciation training systemsÂ». Learning a foreign language is a difficult task from the point of view of both the student and the teacher. In the modern world, computer-assisted pronunciation training (CAPT) systems are actively appearing. They are aimed at working with segment and super-segment language means. There are many unsolved problems in the realm of CAPT systems, designed to study super-segmental phenomena such as rhythm, pitch, and phrasal intonation. One of the challenges is providing the student with objective metrics based on assessing the accuracy of intonation contour. In this work, author solves the problem of assessing the intonation contours similarity in the StudyIntonation CAPT system. Recurrence quantification analysis (RQA) has been studied and applied for this problem. This approach introduces quantitative metrics that consider the non-linear speech nature. A dataset based on a set of tasks completed by StudyIntonation users was created. The dataset contains calculated RQA metrics for each user attempt and is used to train a binary classifier that determines two intonation contours similarity. Based on the output value of the classifier, a decision is made on the success of the task by the user. The calculation of metrics, as well as the classifier, are integrated into the core of StudyIntonation, which allows to use new features in this CAPT system.