ANN application in emotional speech analysis.

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F12%3A00195050" target="_blank" >RIV/68407700:21230/12:00195050 - isvavai.cz</a>
Result on the web
<a href="http://inderscience.metapress.com/content/0131h6728r316n58/" target="_blank" >http://inderscience.metapress.com/content/0131h6728r316n58/</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1504/IJDATS.2012.047819" target="_blank" >10.1504/IJDATS.2012.047819</a>

Result language
angličtina
Original language name
ANN application in emotional speech analysis.
Original language description
In the present text, we deal with the problem of classification of speech emotion. Problems of speech processing are addressed through the use of artificial neural networks (ANNs). The results can be used for two research projects - for prosody modellingand for analysis of disordered speech. The first ANN topology discussed is the multilayer neural network (MLNN) with the BPG learning algorithm, while the supervised SOM (SSOM) is the second ANN topology. Our aim is to combine knowledges from phoneticsand ANN but also to try to classify speech signals which are described by music theory. Finally, one solution is given for this problem which is supplemented with a proof.
Czech name
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Czech description
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Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
JA - Electronics and optoelectronics
OECD FORD branch
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Project
<a href="/en/project/GA102%2F09%2F0989" target="_blank" >GA102/09/0989: New innovative methods for high-quality synthesis of Czech speech</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year
2012
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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