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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 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) is the second ANN topology. Our aim is to combine knowledges from phonetics and 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.
  • 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 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) is the second ANN topology. Our aim is to combine knowledges from phonetics and 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. (en)
Title
  • ANN application in emotional speech analysis.
  • ANN application in emotional speech analysis. (en)
skos:prefLabel
  • ANN application in emotional speech analysis.
  • ANN application in emotional speech analysis. (en)
skos:notation
  • RIV/68407700:21230/12:00195050!RIV13-GA0-21230___
http://linked.open...avai/predkladatel
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(GA102/09/0989)
http://linked.open...iv/cisloPeriodika
  • 3/2012
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 122817
http://linked.open...ai/riv/idVysledku
  • RIV/68407700:21230/12:00195050
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • emotions; emotion classification; speech analysis; artificial neural network; ANNs; multilayer neural networks; MLNN; self-organising maps; SOM; prosody modelling; musical theory; U-matrix; matrix of changes; emotional speech; disordered speech. (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...odStatuVydavatele
  • CH - Švýcarská konfederace
http://linked.open...ontrolniKodProRIV
  • [839EC3BE0741]
http://linked.open...i/riv/nazevZdroje
  • Int.J. of Data Analysis Techniques and Strategies
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...vavai/riv/projekt
http://linked.open...UplatneniVysledku
http://linked.open...v/svazekPeriodika
  • 4
http://linked.open...iv/tvurceVysledku
  • Tučková, Jana
  • Šramka, Martin
issn
  • 1755-8050
number of pages
http://bibframe.org/vocab/doi
  • 10.1504/IJDATS.2012.047819
http://localhost/t...ganizacniJednotka
  • 21230
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