Ontological Reasoning to Configure Emotional Voice Synthesis

  • Virginia Francisco
  • Pablo Gervás
  • Federico Peinado
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4524)

Abstract

The adequate representation of emotions in affective computing is an important problem and the starting point of studies related to emotions. There are different approaches for representing emotions, selecting one of this existing methods depends on the purpose of the application. Another problem related to emotions is the amount of different emotional concepts which makes it very difficult to find the most specific emotion to be expressed in each situation. This paper presents a system that reasons with an ontology of emotions implemented with semantic web technologies. Each emotional concept is defined in terms of a range of values along the three-dimensional space of emotional dimensions. The capabilities for automated classification and establishing taxonomical relations between concepts are used to provide a bridge between an unrestricted input and a restricted set of concepts for which particular rules are provided. The rules applied at the end of the process provide configuration parameters for a system for emotional voice synthesis.

Keywords

Description Logic Basic Emotion Emotional Category Emotional Dimension Ontological Reasoning 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Cowie, R., Cornelius, R.: Describing the emotional states that are expressed in speech. In: Speech Communication Special Issue on Speech and Emotion (2003)Google Scholar
  2. Schröder, M.: Dimensional emotion representation as a basis for speech synthesis with non-extreme emotions. In: Proc. Workshop on Affective Dialogue Systems, Kloster Irsee, Germany (2004)Google Scholar
  3. Izard, C.: The face of emotion. Appleton-Century-Crofts, New York (1971)Google Scholar
  4. Alter, K., Rank, E., Kotz, S., Toepel, U., Besson, M., Schirmer, A., Friederici, A.: Accentuation and emotions - two different systems? In: Proceedings of the ISCA Workshop on Speech and Emotion, pp.138–142. Northern Ireland (2000)Google Scholar
  5. Russell, J.: A circumflex model of affect. Journal of Personality and Social Psychology 39, 1161–1178 (1980)CrossRefGoogle Scholar
  6. Scherer, K.R.: On the nature and function of emotion: A component process approach. Approaches to emotion, pp. 293–317 (1984)Google Scholar
  7. Cowie, R., Douglas-Cowie, E., Romano, A.: Changing emotional tone in dialogue and its prosodic correlates. In: Proc ESCA International Workshop on Dialogue and prosody, Veldhoven, The Netherlands (1999)Google Scholar
  8. Bechhofer, S., van Harmelen, F., Hendler, J., Horrocks, I., McGuinness, D.L., Patel-Schneider, P.F., Stein, A.: OWL web ontology language reference, http://www.w3.org/TR/2004/REC-owl-ref-20040210/
  9. Aduna, NLnet-Foundation: Sesame, http://www.openrdf.org
  10. Hewlett-Packard: Jena: A semantic web framework for java, http://jena.sourceforge.net/
  11. Peinado, F.: Dlmodel, a tool for dealing with description logics, http://federicopeinado.com/projects/dlmodel/
  12. Mindswap: Swoop: A hypermedia-based featherweight OWL ontology editor, http://www.mindswap.org/2004/SWOOP/
  13. Crubézy, M., Dameron, O., Fergerson, R.W., Knublauch, H., Musen, M.A., Noy, N.F., Rubin, D., Tu, S.W., Vendetti, J.: Protégé project, http://protege.stanford.edu/
  14. Mindswap: Pellet OWL reasoner, http://pellet.owldl.com/
  15. Racer-Systems: Racerpro, http://www.racer-systems.com/
  16. Francisco, V., Gervás, P.: Exploring the compositionality of emotions in text: Word emotions, sentence emotions and automated tagging. In: Proceedings of the AAAI-06 Workshop on Computational Aesthetics: AI Approaches to Beauty and Happiness, Boston (2006)Google Scholar
  17. Bradley, M., Lang, P.: Affective norms for English words (ANEW): Stimuli, instruction manual and affective ratings. technical report c-1. Technical report, The Center for Research in Psychophysiology, University of Florida (1999)Google Scholar
  18. Miller, G.: Wordnet: a lexical database for english. Communications of the ACM 38, 39–41 (1995)CrossRefGoogle Scholar
  19. Francisco, V., Hervás, R., Gervás, P.: Análisis y síntesis de expresión emocional en cuentos leídos en voz alta. In: Sociedad Española para el Procesamiento del Lenguaje Natural, Procesamiento de Lenguaje Natural, Granada, Spain (2005)Google Scholar

Copyright information

© Springer Berlin Heidelberg 2007

Authors and Affiliations

  • Virginia Francisco
    • 1
  • Pablo Gervás
    • 1
  • Federico Peinado
    • 1
  1. 1.Departamento de Inteligencia Artificial e Ingeniería del Software, Universidad Complutense de MadridSpain

Personalised recommendations