Speaker-Dependent BiLSTM-Based Phrasing
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F20%3A43959361" target="_blank" >RIV/49777513:23520/20:43959361 - isvavai.cz</a>
Result on the web
<a href="https://link.springer.com/chapter/10.1007%2F978-3-030-58323-1_37" target="_blank" >https://link.springer.com/chapter/10.1007%2F978-3-030-58323-1_37</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-030-58323-1_37" target="_blank" >10.1007/978-3-030-58323-1_37</a>
Alternative languages
Result language
angličtina
Original language name
Speaker-Dependent BiLSTM-Based Phrasing
Original language description
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.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
20205 - Automation and control systems
Result continuities
Project
<a href="/en/project/GA19-19324S" target="_blank" >GA19-19324S: Fully Trainable Deep Neural Network Based Czech Text-to-Speech Synthesis</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2020
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Text, Speech, and Dialogue 23rd International Conference, TSD 2020, Brno, Czech Republic, September 8-11, 2020, Proceedings
ISBN
978-3-030-58322-4
ISSN
0302-9743
e-ISSN
1611-3349
Number of pages
8
Pages from-to
340-347
Publisher name
Springer
Place of publication
Cham
Event location
Brno, Česká republika
Event date
Sep 8, 2020
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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