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Анализ методов и моделей систем автоматической обработки синтеза речи
Author(s) -
A.K. Aitim,
R.Zh. Satybaldiyeva
Publication year - 2022
Publication title -
international journal of information and communication technologies
Language(s) - English
Resource type - Journals
eISSN - 2708-2040
pISSN - 2708-2032
DOI - 10.54309/ijict.2020.2.2.019
Subject(s) - computer science , speech synthesis , speech recognition , linguistics , philosophy
The article considers the current state of models and methods of speech synthesis. Their ad-vantages and disadvantages are presented, as well as metrics for the quality of speech synthesis. The method of speech synthesis by rules is based on a programmed knowledge of acoustic and linguistic limitations and does not directly use elements of human speech. В статьерассматривается современное состояние моделей и методов синтеза речи. Представлены их достоинства и недостатки, а также метрики качества синтеза речи. Метод синтеза речи по правилам базируется на запрограммированном знании акустических и лингвистических ограничений и не использует непосредственно элементы человеческой ре-чи.

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