Error correction of proportions in spoken opinion surveys

Abstract : 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.
Type de document :
Communication dans un congrès
Interspeech, Sep 2009, Brighton, United Kingdom
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Contributeur : Bibliothèque Universitaire Déposants Hal-Avignon <>
Soumis le : mercredi 11 mai 2016 - 15:22:45
Dernière modification le : samedi 23 mars 2019 - 01:22:36


  • HAL Id : hal-01314530, version 1



Nathalie Camelin, Renato De Mori, Frederic Bechet, Geraldine Damnati. Error correction of proportions in spoken opinion surveys. Interspeech, Sep 2009, Brighton, United Kingdom. 〈hal-01314530〉



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