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01-03-2021 | AUTOMATED TEXT PROCESSING

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

Authors: E. S. Izrailova, A. S. Badaeva

Published in: Automatic Documentation and Mathematical Linguistics | Issue 2/2021

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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.

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Izrailova, E.S., The phonetic alphabet of the Chechen language as a basis of a speech-synthesis system, Autom. Doc. Math. Linguist., 2018, vol. 52, no. 1, pp. 51–55.CrossRef

Izrailova, E.S., Modeling a speech synthesis system based on deep convolutional neural networks, Izv. Kabard.-Balkar. Nauchn. Tsentra Ross. Akad. Nauk, 2018, no. 6.

Hideyuki Tachibana, Katsuya Uenoyama, and Shunsuke Aihara, Efficiently trainable text-to-speech system based on deep convolutional networks with guided attention, arXiv, 2017. https://arxiv.org/pdf/1710.08969.pdf. Accessed December 9, 2020.

Izrailova, E.S., Features of machine learning by means of CNN in the framework of speech synthesis, Vestn. Grozn. Gos. Neft. Tekh. Univ., Tekh. Nauki, 2019, vol. XV, no 2, pp. 29–35.

Solomennik, A.I., et al., Evaluation of the quality of synthesized speech: Problems and solutions, Izv. Vuzov, Priborostr., 2013, vol. 56, no. 2, pp. 38–42.

Izrailova, E.S., The process of creating a system for the synthesis of Chechen speech, Izv. Ross. Gos. Pedagog. Univ. im. A.I. Gertsena, 2020, no. 198.

Title: Analysis of the Speech Signal Quality of the Chechen Speech Synthesis System
Authors: E. S. Izrailova
A. S. Badaeva
Publication date: 01-03-2021
Publisher: Pleiades Publishing
Published in: Automatic Documentation and Mathematical Linguistics / Issue 2/2021
Print ISSN: 0005-1055
Electronic ISSN: 1934-8371
DOI: https://doi.org/10.3103/S0005105521020059

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