Title:	Speaker-Dependent BiLSTM-Based Phrasing
Authors:	Řezáčková, Markéta Tihelka, Daniel
Citation:	ŘEZÁČKOVÁ, M., TIHELKA, D. Speaker-Dependent BiLSTM-Based Phrasing. In: Text, Speech, and Dialogue 23rd International Conference, TSD 2020, Brno, Czech Republic, September 8-11, 2020, Proceedings. Cham: Springer, 2020. s. 340-347. ISBN 978-3-030-58322-4, ISSN 0302-9743.
Issue Date:	2020
Publisher:	Springer
Document type:	konferenční příspěvek conferenceObject
URI:	2-s2.0-85091141874 http://hdl.handle.net/11025/42717
ISBN:	978-3-030-58322-4
ISSN:	0302-9743
Keywords in different language:	Phrase boundary detection, Text-to-speech system, Neural network, Speaker-dependent phrasin
Abstract in different language:	Phrase boundary detection is an important part of text-to-speech systems since it ensures more natural speech synthesis outputs. However, the problem of phrasing is ambiguous, especially per speaker and per style. This is the reason why this paper focuses on speaker-dependent phrasing for the purposes of speech synthesis, using a neural network model with a speaker code. We also describe results of a listening test focused on incorrectly detected breaks because it turned out that some mistakes could be actually fine, not wrong.
Rights:	Plný text není přístupný. © Springer
Appears in Collections:	Konferenční příspěvky / Conference papers (NTIS) Konferenční příspěvky / Conference Papers (KKY) OBD

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