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  • Development of a System for Assessing the Dynamics of the Lecturer's Speech Expressiveness Indicators During the Lecture

Development of a System for Assessing the Dynamics of the Lecturer's Speech Expressiveness Indicators During the Lecture

Student: Daniukovas Vitalii

Supervisor: Alexander Varnavsky

Faculty: HSE Tikhonov Moscow Institute of Electronics and Mathematics (MIEM HSE)

Educational Programme: Information Science and Computation Technology (Bachelor)

Year of Graduation: 2021

Thesis on the topic " Development of a System for Assessing the Dynamics of the Lecturer's Speech Expressiveness Indicators During the Lecture" contains 44 pages, 26 figures, 21 sources. Research object ¬ Speech of the lecturer Purpose of the work ¬ The purpose of the thesis is to develop a system for assessing the dynamics of the lecturer's speech expressiveness indicators during the lecture. The first chapter includes the analysis of speech research methods, their subsequent classification, as well as the analysis and classification of sound for direct work with it. The second chapter is devoted to the practical implementation of a dataset, for its further analysis by a neural network, a theoretical justification for choosing the type of a neural network, the practical implementation of a neural network and the creation of a convenient interface. The practical significance of this work lies in providing the ability to analyze and predict the behavior of the speaker's speech in the entire speech. As part of improving this neural network, you can add several more sources for analyzing the speaker's speech.

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