Optimal Number of States in HMM-Based Speech Synthesis
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F17%3A43932641" target="_blank" >RIV/49777513:23520/17:43932641 - isvavai.cz</a>
Result on the web
<a href="https://link.springer.com/chapter/10.1007%2F978-3-319-64206-2_40" target="_blank" >https://link.springer.com/chapter/10.1007%2F978-3-319-64206-2_40</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-319-64206-2_40" target="_blank" >10.1007/978-3-319-64206-2_40</a>
Alternative languages
Result language
angličtina
Original language name
Optimal Number of States in HMM-Based Speech Synthesis
Original language description
This paper deals with using models with a variable number of states in the HMM-based speech synthesis system. The paper also includes some implementation details on how to use these models in systems based on the HTS toolkit, which cannot handle the models with an unequal number of states directly. A bypass to enable this functionality is proposed here. A data-based method for the determination of the optimal number of states for particular models is proposed here and experimentally tested on 4 large speech corpora. The preference listening test, focused on local differences, proved the preference of the proposed system to the traditional system with 5-state models, while the size of the proposed system (the total number of states) is lower.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
—
OECD FORD branch
20205 - Automation and control systems
Result continuities
Project
<a href="/en/project/GA16-04420S" target="_blank" >GA16-04420S: Combining phonetic and corpus-based approaches to remedy disruptive effects in synthetic speech</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2017
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, 20th International Conference, TSD 2017, Prague, Czech Republic, August 27-31 August, 2017, Proceedings
ISBN
978-3-319-64205-5
ISSN
0302-9743
e-ISSN
—
Number of pages
9
Pages from-to
353-361
Publisher name
Springer
Place of publication
Cham
Event location
Prague, Czech Republic
Event date
Aug 27, 2017
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000449869200040