Multi-Classifier Speech Emotion Recognition System
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F18%3A10241797" target="_blank" >RIV/61989100:27240/18:10241797 - isvavai.cz</a>
Alternative codes found
RIV/61989100:27740/18:10241797
Result on the web
<a href="https://ieeexplore.ieee.org/document/8612050" target="_blank" >https://ieeexplore.ieee.org/document/8612050</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/TELFOR.2018.8612050" target="_blank" >10.1109/TELFOR.2018.8612050</a>
Alternative languages
Result language
angličtina
Original language name
Multi-Classifier Speech Emotion Recognition System
Original language description
This article describes the design and application of a speech emotion recognition system. The system is trained in Czech emotionally coloured speech. The output of the system is the evaluation one of the four emotional states. Classification of emotion from extracted features is performed by a multi-classifier whose structure consists of three sub-classifiers fusion by Bayes Believe rule. The proposed system was deployed in the Secure Mobile Communication Infrastructure developed for the Czech Republic Security Components.
Czech name
—
Czech description
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Classification
Type
D - Article in proceedings
CEP classification
—
OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
<a href="/en/project/LM2015070" target="_blank" >LM2015070: IT4Innovations National Supercomputing Center</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
2018 26th Telecommunications Forum, TELFOR 2018 - Proceedings
ISBN
978-1-5386-7170-2
ISSN
—
e-ISSN
neuvedeno
Number of pages
4
Pages from-to
416-419
Publisher name
IEEE
Place of publication
Piscataway
Event location
Bělehrad
Event date
Nov 20, 2018
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000459714200094