On the Comparison of Different Phrase Boundary Detection Approaches Trained on Czech TTS Speech Corpora
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F18%3A43952750" target="_blank" >RIV/49777513:23520/18:43952750 - isvavai.cz</a>
Result on the web
<a href="https://link.springer.com/chapter/10.1007%2F978-3-319-99579-3_27" target="_blank" >https://link.springer.com/chapter/10.1007%2F978-3-319-99579-3_27</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-319-99579-3_27" target="_blank" >10.1007/978-3-319-99579-3_27</a>
Alternative languages
Result language
angličtina
Original language name
On the Comparison of Different Phrase Boundary Detection Approaches Trained on Czech TTS Speech Corpora
Original language description
The phrasing is a very important issue in the process of speech synthesis since it ensures higher naturalness and intelligibility of synthesized sentences. There are many different approaches to phrase boundary detection, including simple classification-based, HMM-based, CRF-based approaches, however, different types of neural networks are used for this task as well. The paper compares representative methods for phrasing of Czech sentences using large-scale TTS speech corpora as training data, taking only speaker-dependent phrasing issue into consideration.
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/LO1506" target="_blank" >LO1506: Sustainability support of the centre NTIS - New Technologies for the Information Society</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach
Others
Publication year
2018
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Speech and Computer 20th International Conference, SPECOM 2018 Leipzig, Germany, September 18–22, 2018, Proceedings
ISBN
978-3-319-99578-6
ISSN
0302-9743
e-ISSN
1611-3349
Number of pages
9
Pages from-to
255-263
Publisher name
Springer Nature Switzerland AG
Place of publication
Cham
Event location
Leipzig, Germany
Event date
Sep 18, 2018
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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