Recognizing Emotions from Human Speech Using 2-D Neural Classifier and Influence the Selection of Input Parameters on its Accuracy
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F13%3A86086901" target="_blank" >RIV/61989100:27240/13:86086901 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1109/TELFOR.2013.6716272" target="_blank" >http://dx.doi.org/10.1109/TELFOR.2013.6716272</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/TELFOR.2013.6716272" target="_blank" >10.1109/TELFOR.2013.6716272</a>
Alternative languages
Result language
angličtina
Original language name
Recognizing Emotions from Human Speech Using 2-D Neural Classifier and Influence the Selection of Input Parameters on its Accuracy
Original language description
This paper deals with the comparison of different methods of speech features extraction for a neural network classifier. We have used a Kohohen self-organizing feature map (SOM) for output-stage classifier which is a specific type of artificial neural nets. The result of this research deals with the accuracy of emotion classifier and compares the two input combinations.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
JA - Electronics and optoelectronics
OECD FORD branch
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Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2013
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
2013 21st Telecommunications Forum Telfor, TELFOR 2013 - Proceedings of Papers
ISBN
978-1-4799-1419-7
ISSN
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e-ISSN
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Number of pages
4
Pages from-to
482-485
Publisher name
IEEE
Place of publication
New York
Event location
Belgrade
Event date
Nov 26, 2013
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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