Evaluation of Synthetic Speech by GMM-Based Continuous Detection of Emotional States

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F19%3A43956397" target="_blank" >RIV/49777513:23520/19:43956397 - isvavai.cz</a>
Result on the web
<a href="https://link.springer.com/chapter/10.1007%2F978-3-030-27947-9_22" target="_blank" >https://link.springer.com/chapter/10.1007%2F978-3-030-27947-9_22</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-030-27947-9_22" target="_blank" >10.1007/978-3-030-27947-9_22</a>

Result language
angličtina
Original language name
Evaluation of Synthetic Speech by GMM-Based Continuous Detection of Emotional States
Original language description
The paper describes a system for automatic evaluation of synthetic speech quality based on continuous detection of emotional states throughout the spoken sentence using a Gaussian mixture model (GMM) classification. The final evaluation decision is made by statistical analysis of the results of emotional class differences between the sentences of original male or female voices and the speech synthesized by various methods with different parameters, approaches to prosody manipulation, etc. The basic experiments confirm the functionality of the developed system producing results comparable with those obtained by the standard listening test method. Additional investigations have shown that a number of mixtures, types of speech features, and a speech database used for creation and training of GMMs have a relatively great influence on continuous emotional style detection and the final quality evaluation of the tested synthetic speech.
Czech name
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Czech description
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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>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year
2019
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Text, Speech, and Dialogue 22nd International Conference, TSD 2019, Ljubljana,Slovenia, September 11-13, 2019, Proceedings
ISBN
978-3-030-27946-2
ISSN
0302-9743
e-ISSN
1611-3349
Number of pages
10
Pages from-to
264-273
Publisher name
Springer
Place of publication
Cham
Event location
Ljubljana, Slovenia
Event date
Sep 11, 2019
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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