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ANN application in emotional speech analysis


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  • Jana Tuckova
  • Martin Sramka
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    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.

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    Bibliographic Info

    Article provided by Inderscience Enterprises Ltd in its journal Int. J. of Data Analysis Techniques and Strategies.

    Volume (Year): 4 (2012)
    Issue (Month): 3 ()
    Pages: 256-276

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    Handle: RePEc:ids:injdan:v:4:y:2012:i:3:p:256-276

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    Related research

    Keywords: 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.;


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