MAKEDONKA: Applied Deep Learning Model for Text-to-Speech Synthesis in Macedonian Language

This paper presents MAKEDONKA, the first open-source Macedonian language synthesizer that is based on the Deep Learning approach. The paper provides an overview of the numerous attempts to achieve a human-like reproducible speech, which has unfortunately shown to be unsuccessful due to the work invi...

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Autors principals:	Kostadin Mishev, Aleksandra Karovska Ristovska, Dimitar Trajanov, Tome Eftimov, Monika Simjanoska
Format:	Artigo
Idioma:	Inglês
Publicat:	MDPI AG 2020-10-01
Col·lecció:	Applied Sciences
Matèries:	macedonian language text-to-speech deep learning natural language processing speech synthesizer
Accés en línia:	https://www.mdpi.com/2076-3417/10/19/6882
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