Emotional Speech Analysis using Artificial Neural Networks.

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F10%3A00174760" target="_blank" >RIV/68407700:21230/10:00174760 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Emotional Speech Analysis using Artificial Neural Networks.
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 (ANN). The results can be use for two research projects - for prosody modelling and 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) are the second ANN topology. Our aim is to verify the various of knowledge from phonetics and ANN but also to try to classify speech signals which are described by musical 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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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
2010
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Proceedings of the International Multiconference on Computer Science and Information Technology
ISBN
978-83-60810-27-9
ISSN
1896-7094
e-ISSN
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Number of pages
7
Pages from-to
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Publisher name
Polish Academy of Sciences
Place of publication
Wroclaw
Event location
Wisla
Event date
Oct 18, 2010
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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