Prosody modelling for TTS systems using statistical methods
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985882%3A_____%2F12%3A00396591" target="_blank" >RIV/67985882:_____/12:00396591 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1007/978-3-642-34584-5_13" target="_blank" >http://dx.doi.org/10.1007/978-3-642-34584-5_13</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-642-34584-5_13" target="_blank" >10.1007/978-3-642-34584-5_13</a>
Alternative languages
Result language
angličtina
Original language name
Prosody modelling for TTS systems using statistical methods
Original language description
The main drawback of older methods of prosody modelling is the monotony of the output, which is perceived as uncomfortable by the users, especially when listening to longer passages. The present paper proposes a prosodic generator designed to increase the variability of synthesized speech in reading devices for the blind. The method used is based on text segmentation into several prosodic patterns by means of vector quantisation and the subsequent training of corresponding HMMs (Hidden Markov Models) onF0 parameters. The path through the model's states is then used to generate sentence prosody. We also tried to utilize morphological information in order to increase prosody naturalness. The evaluation of the quality of the proposed prosodic generatorswas carried out by means of listening tests
Czech name
—
Czech description
—
Classification
Type
D - Article in proceedings
CEP classification
JA - Electronics and optoelectronics
OECD FORD branch
—
Result continuities
Project
—
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2012
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Lecture Notes i nComputer Science
ISBN
9783642345838
ISSN
0302-9743
e-ISSN
—
Number of pages
10
Pages from-to
174-183
Publisher name
Springer Verlag
Place of publication
Berlin
Event location
Dresden
Event date
Feb 21, 2011
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
—