Pattern Recognition Methods and Features Selection for 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%2F15%3A86090758" target="_blank" >RIV/61989100:27240/15:86090758 - isvavai.cz</a>
Alternative codes found
RIV/61989100:27740/15:86090758
Result on the web
<a href="http://www.hindawi.com/journals/tswj/2015/573068/" target="_blank" >http://www.hindawi.com/journals/tswj/2015/573068/</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1155/2015/573068" target="_blank" >10.1155/2015/573068</a>
Alternative languages
Result language
angličtina
Original language name
Pattern Recognition Methods and Features Selection for Speech Emotion Recognition System
Original language description
The impact of the classification method and features selection for the speech emotion recognition accuracy is discussed in this paper. Selecting the correct parameters in combination with the classifier is an important part of reducing the complexity ofsystem computing. This step is necessary especially for systems that will be deployed in real-time applications. The reason for the development and improvement of speech emotion recognition systems is wide usability in nowadays automatic voice controlledsystems. Berlin database of emotional recordings was used in this experiment. Classification accuracy of artificial neural networks, k-nearest neighbours, and Gaussian mixture model is measured considering the selection of prosodic, spectral, and voicequality features. The purpose was to find an optimal combination of methods and group of features for stress detection in human speech. The research contribution lies in the design of the speech emotion recognition system due to its accur
Czech name
—
Czech description
—
Classification
Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
IN - Informatics
OECD FORD branch
—
Result continuities
Project
—
Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2015
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
The Scientific World Journal
ISSN
2356-6140
e-ISSN
—
Volume of the periodical
2015
Issue of the periodical within the volume
Neuveden
Country of publishing house
US - UNITED STATES
Number of pages
7
Pages from-to
1-7
UT code for WoS article
—
EID of the result in the Scopus database
2-s2.0-84939857445