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ANN application in emotional speech analysis

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  • Jana Tuckova
  • Martin Sramka

Abstract

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.

Suggested Citation

  • Jana Tuckova & Martin Sramka, 2012. "ANN application in emotional speech analysis," International Journal of Data Analysis Techniques and Strategies, Inderscience Enterprises Ltd, vol. 4(3), pages 256-276.
    • Handle: RePEc:ids:injdan:v:4:y:2012:i:3:p:256-276
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    Cited by:

    1. Jasleen Kaur & Khushdeep Dharni, 2022. "Application and performance of data mining techniques in stock market: A review," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 29(4), pages 219-241, October.

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