Text-to-Text Transfer Transformer Phrasing Model Using Enriched Text Input
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F22%3A43965698" target="_blank" >RIV/49777513:23520/22:43965698 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.1007/978-3-031-16270-1_32" target="_blank" >https://doi.org/10.1007/978-3-031-16270-1_32</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-031-16270-1_32" target="_blank" >10.1007/978-3-031-16270-1_32</a>
Alternative languages
Result language
angličtina
Original language name
Text-to-Text Transfer Transformer Phrasing Model Using Enriched Text Input
Original language description
Appropriate prosodic phrasing of the input text is crucial for natural speech synthesis outputs. The presented paper focuses on using a Text-to-Text Transfer Transformer for predicting phrase boundaries in text and inspects the possibility of enriching the input text with more detailed information to improve the success rate of the phrasing model trained on plain text. This idea came from our previous research on phrasing that showed that more detailed syntactic/semantic information might lead to more accurate predicting of phrase boundaries.
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/GA21-14758S" target="_blank" >GA21-14758S: Prosodic Phrase in Current Spoken Czech: Meaning, Balance, Stochastic Patterns</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2022
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 25th International Conference, TSD 2022, Brno, Czech Republic, September 6–9, 2022, Proceedings
ISBN
978-3-031-16269-5
ISSN
0302-9743
e-ISSN
1611-3349
Number of pages
12
Pages from-to
389-400
Publisher name
Springer International Publishing
Place of publication
Cham
Event location
Brno, Czech Republic
Event date
Sep 6, 2022
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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