Prosody based Automatic Classification of the Uses of French ‘Oui’ as Convinced or Unconvinced Uses

Abdenour Hacine-Gharbi, Mélanie Petit, Philippe Ravier, François Némo

2015

Abstract

When working with oral speech, the issue of natural meaning processing can be improved using easily available prosodic information. Only recently, semanticists have started to consider that the prosodic features could play a key role in the interpretation and classification of different word’s uses. In this work, we propose a prosodic based automatic system that allows to classify the French word ‘oui’ into one of the classes ‘conviction’ or ‘lack of conviction’. To that aim, a questionnaire inspired from opinion polls has been created and permitted to obtain 118 occurrences for both classes of ‘oui’. Combined with feature selection procedure, the best classification rates decreases from 85.45% (speaker dependent mode) to 79.25% (speaker independent mode which is closer to an application). Interestingly, we also introduce the ‘shuttle’ principle that seeks to validate the semantic interpretation thanks to prosodic analysis.

References

  1. Boersma, P. & Weenink, D., 2014. Praat: doing phonetics by computer. (Online) Available at: www.praat.org (Accessed 2014).
  2. Brown, G., Pocock, A., Zhao, M.-J. & Lujan, M., 2012. Conditional Likelihood Maximisation: A Unifying Framework for. Journal of Machine Learning Research, Issue 13, pp. 27-66.
  3. Fernandez, R. & W. Picard, R., 2002. Dialog Act Classification from Prosodic Features Using Support Vector Machines. Aix-en-Provence, France, s.n., pp. 291-294.
  4. Hasegawa-Johnson, M. & all, &., 2004. Speech recognition models of the interdependence among syntax, prosody and segmental. s.l., s.n.
  5. Jain, A., Duin, R. & Mao, J., 2000. Statistical pattern recognition: a review. Trans. Pattern Analysis and Machine Intelligence, Jan, 22,(1), pp. 4-37.
  6. Juslin, P. N. & Laukka, P., 2003. Communication of emotions in vocal expression and music performance. Psychological Bulletin, 129(5).
  7. Kompe, R., 1997. Prosody in Speech Understanding Systems. LNAI, Volume 1307.
  8. Manganaro, L., Peskin, B. & Shriberg, E., 2002. Using prosodic and lexical information for speaker. s.l., s.n.
  9. Mary, L. & Yegnanarayana, B., 2008. Extraction and representation of prosodic features for language and and speaker recognition. Speech Communication, p. 782-796.
  10. Petit, M., 2009. Discrimination prosodique et représentation du lexique : application aux emplois des connecteurs discursifs, s.l.: PhD Thesis, University of Orléans.
  11. Rosenberg, A., 2009. Automatic Detection and Classification of Prosodic Events, s.l.: PhD Thesis, University of Columbia.
  12. Shriberg, E. & all, 1998. Can Prosody Aid the Automatic Classification of Dialog Acts, s.l.: s.n.
  13. Shriberg, E. & Stolcke, A., 2004. Direct Modeling of Prosody: An Overview of Applications in Automatic Speech Processing. s.l., s.n., pp. 575-582.
  14. Spiegl, W. & all, 2009. Analyzing Features for Automatic Age Estimation on Cross-Sectional Data. s.l., s.n., pp. 2923-2926.
  15. Szaszák, G., Sztahó, D. & Vicsi, K., 2009. Automatic Intonation Classification for Speech Training Systems. s.l., s.n.
  16. Wang, C., 2001. Prosodic modelling for improved speech recognition and understanding, s.l.: PhD Thesis, Massachussetts Institute of Technology.
  17. Young, S., Kershaw, D., Odell, J. & Ollason, D., 1999. The HTK Book. Cambridge: Entropic Ltd.
Download


Paper Citation


in Harvard Style

Hacine-Gharbi A., Petit M., Ravier P. and Némo F. (2015). Prosody based Automatic Classification of the Uses of French ‘Oui’ as Convinced or Unconvinced Uses . In Proceedings of the International Conference on Pattern Recognition Applications and Methods - Volume 2: ICPRAM, ISBN 978-989-758-077-2, pages 349-354. DOI: 10.5220/0005293103490354


in Bibtex Style

@conference{icpram15,
author={Abdenour Hacine-Gharbi and Mélanie Petit and Philippe Ravier and François Némo},
title={Prosody based Automatic Classification of the Uses of French ‘Oui’ as Convinced or Unconvinced Uses},
booktitle={Proceedings of the International Conference on Pattern Recognition Applications and Methods - Volume 2: ICPRAM,},
year={2015},
pages={349-354},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005293103490354},
isbn={978-989-758-077-2},
}


in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Pattern Recognition Applications and Methods - Volume 2: ICPRAM,
TI - Prosody based Automatic Classification of the Uses of French ‘Oui’ as Convinced or Unconvinced Uses
SN - 978-989-758-077-2
AU - Hacine-Gharbi A.
AU - Petit M.
AU - Ravier P.
AU - Némo F.
PY - 2015
SP - 349
EP - 354
DO - 10.5220/0005293103490354