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Analysis of the Speech Signal Quality of the Chechen Speech Synthesis System

Analysis of the Speech Signal Quality of the Chechen Speech Synthesis System This paper describes the creation of a prototype of the Chechen speech synthesis system that is based on the DCTTS neural network model and consists of various functional modules. It analyzes the quality of the received speech signal in accordance with the MOS international assessment of the quality of synthesized speech, as well as the results of testing the prototype of the Chechen speech synthesis system and its refinement. New areas of research are presented, which are preliminarily focused on the elimination of graphic homonymy in the text. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Automatic Documentation and Mathematical Linguistics Springer Journals

Analysis of the Speech Signal Quality of the Chechen Speech Synthesis System

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Publisher
Springer Journals
Copyright
Copyright © Allerton Press, Inc. 2021. ISSN 0005-1055, Automatic Documentation and Mathematical Linguistics, 2021, Vol. 55, No. 2, pp. 74–78. © Allerton Press, Inc., 2021. Russian Text © The Author(s), 2021, published in Nauchno-Tekhnicheskaya Informatsiya, Seriya 2: Informatsionnye Protsessy i Sistemy, 2021, No. 4, pp. 35–39.
ISSN
0005-1055
eISSN
1934-8371
DOI
10.3103/s0005105521020059
Publisher site
See Article on Publisher Site

Abstract

This paper describes the creation of a prototype of the Chechen speech synthesis system that is based on the DCTTS neural network model and consists of various functional modules. It analyzes the quality of the received speech signal in accordance with the MOS international assessment of the quality of synthesized speech, as well as the results of testing the prototype of the Chechen speech synthesis system and its refinement. New areas of research are presented, which are preliminarily focused on the elimination of graphic homonymy in the text.

Journal

Automatic Documentation and Mathematical LinguisticsSpringer Journals

Published: Jul 12, 2021

Keywords: Chechen speech synthesis system; training corpus; analysis of the quality of synthesized speech; MOS assessment; graphic homonymy

References