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The Program for the Synthesis of Voice Singing Based on Machine Learning Algorithms

Student: Shadrin Mikhail

Supervisor: Dmitry Alexandrov

Faculty: Faculty of Computer Science

Educational Programme: Software Engineering (Bachelor)

Year of Graduation: 2019

This work is devoted to the synthesis of vocals in Russian. In turn, software tools for vocal synthesis occupy a significant niche in the software market, but so far no tool has been developed for generating artificial vocals in Russian. In the work various approaches to speech and vocal synthesis were considered, their disadvantages and merits were shown. The chosen approach in this paper is concatenative synthesis — an approach to speech and vocal synthesis, in which the speech signal is formed from previously recorded samples of human speech with phonetic units of a certain length. The object of development is the program for the synthesis of vocals in Russian. The developed application is a web application that uses a public REST API to work directly with the vocal synthesis module and provides a web interface as a one-page web application for interacting with the server part. The main tools for developing the server side are Java and Python, as well as the Spring Boot framework. JavaScript was chosen as the client's development tool using the React reactive library. This work contains 38 pages, 3 chapters, 2 tables, 7 figures, 16 references and 4 applications.

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