Speech Emotions Recognition Using 2-D Neural Classifier
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F13%3A86086876" target="_blank" >RIV/61989100:27240/13:86086876 - isvavai.cz</a>
Alternative codes found
RIV/61989100:27740/13:86086876
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Speech Emotions Recognition Using 2-D Neural Classifier
Original language description
This article deals with a speech emotion recognition system. We discuss the usage of a neural network as the final classifier for human speech emotional state. We carried our research on a database of records of both genders and various emotional states.In the preprocessing and speech processing phase, we focused our intent on parameters dependent on the emotional state. The output of this work is a system for classifying the emotional state of a man's voice, which is based on a neural network classifier. For output-stage classifier was used self-organizing feature map, which is specific type of artificial neural nets. The number of input parameters must be limited for hardware and time consuming computation of neurons positions. Therefore we discussthe accuracy of the classifier whose input is the fundamental frequency calculated by different methods
Czech name
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Czech description
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Classification
Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
IN - Informatics
OECD FORD branch
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Result continuities
Project
<a href="/en/project/ED1.1.00%2F02.0070" target="_blank" >ED1.1.00/02.0070: IT4Innovations Centre of Excellence</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2013
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Advances in Intelligent Systems and Computing. Volume 239
ISSN
2194-5357
e-ISSN
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Volume of the periodical
210
Issue of the periodical within the volume
2013
Country of publishing house
DE - GERMANY
Number of pages
11
Pages from-to
221-231
UT code for WoS article
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EID of the result in the Scopus database
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