Learning Prosodic Stress from Data in Neural Network based Text-to-Speech Synthesis
Author(s) -
Milan Sec̆ujski,
Stevan Ostrogonac,
Siniša Suzić,
Darko Pekar
Publication year - 2018
Publication title -
spiiras proceedings
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.242
H-Index - 9
eISSN - 2078-9599
pISSN - 2078-9181
DOI - 10.15622/sp.59.8
Subject(s) - computer science , speech synthesis , stress (linguistics) , naturalness , sentence , phrase , utterance , speech recognition , prosody , natural language processing , active listening , focus (optics) , pitch accent , syllable , artificial intelligence , linguistics , psychology , philosophy , physics , communication , quantum mechanics , optics
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