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System for Evaluating Expressiveness Indicators of Lecturer Speech

Student: Li Igor

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: 2020

The topic of this work is: "Development of System for Evaluating Expressiveness Indicators of Lecturer Speech." This research evaluates various parameters of the system user 's speech. The work consists of introduction, main part, practical part, conclusion and list of sources. Its goal is to create software that will help its users analyze the quality of their speech and further work on its quality. Tools such as Google colaboratory and Python programming language were used to solve the problems. The work contains reviewed and analyzed existing speech recognition and evaluation solutions. The practical part of the work describes in more detail the process of system creation and testing. As a result, conclusions are drawn about the work and its prospects. The volume of the report on qualification work, not including applications, is – 36 pages. The number of illustrations – 25, sources – 16, applications – 7.

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