Крюкова, ГалинаПроцик, Олексій2020-12-052020-12-052020https://ekmair.ukma.edu.ua/handle/123456789/18999Generating high fidelity speech using a text-to-speech (TTS) system remains a challenging task despite the decades of research and investigations. Modern TTS systems are very complex. For example, it is a common practice for a statistical TTS system to have a linguistic extractor in the front, which extracts different linguistic features. It is followed by a duration model to estimate the speech length in time of a given text and an acoustic feature prediction model. Given these features, it is all fed into a vocoder, which synthesizes speech out of acoustic features. All these components are trained independently and require extensive field knowledge to be sophisticated enough and produce considerable results. Because it has a modular design, it is prone to errors which will proceed in the following modules and can accumulate.enmodelling prosodythe task of human speechsynthesisthe usemachine learningбакалаврська роботаOther