ISCA Archive Interspeech 2009
ISCA Archive Interspeech 2009

Error correction of proportions in spoken opinion surveys

Nathalie Camelin, Renato De Mori, Frederic Bechet, GĂ©raldine Damnati

The paper analyzes the types of errors encountered in automatic spoken surveys. These errors are different from the ones that appear when surveys are taken by humans because they are caused by the imprecision of an automatic system. Previous studies presented a strategy that consists in the robust detection of subjective opinions about a particular topic in a spoken message. If the same automatic system is used for estimating opinion proportions in different spoken surveys, then the error rate of the entire automatic process should not vary too much in different surveys for each type of opinions. Based on this conjecture, a linear error model is derived and used for error correction. Experimental results obtained with data of a real-world deployed system show significant error reductions obtained in the automatic estimation of proportions in spoken surveys.

doi: 10.21437/Interspeech.2009-694

Cite as: Camelin, N., Mori, R.D., Bechet, F., Damnati, G. (2009) Error correction of proportions in spoken opinion surveys. Proc. Interspeech 2009, 2715-2718, doi: 10.21437/Interspeech.2009-694

  author={Nathalie Camelin and Renato De Mori and Frederic Bechet and GĂ©raldine Damnati},
  title={{Error correction of proportions in spoken opinion surveys}},
  booktitle={Proc. Interspeech 2009},