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How Confident are You? Exploring the Role of Fillers in the Automatic Prediction of a Speaker's Confidence

Abstract : “Fillers", example “um" in English, have been linked to the “Feeling of Another’s Knowing (FOAK)" or the listener’s perception of a speaker’s expressed confidence. Yet, in Spoken Language Processing (SLP) they remain unexplored, or overlooked as noise. We introduce a new challenging task for educational applications, that is the prediction of FOAK. We design a set of filler features based on linguistic literature, and investigate their potential in FOAK prediction. We show that the integration of information related to implicature meanings allows an improvement in the FOAK model and that the different functions of fillers are differently correlated with confidence.
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https://hal.inria.fr/hal-02933476
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Submitted on : Tuesday, September 8, 2020 - 2:35:35 PM
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  • HAL Id : hal-02933476, version 1

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Tanvi Dinkar, Ioana Vasilescu, Catherine Pelachaud, Chloé Clavel. How Confident are You? Exploring the Role of Fillers in the Automatic Prediction of a Speaker's Confidence. Workshop sur les Affects, Compagnons artificiels et Interactions, CNRS, Université Toulouse Jean Jaurès, Université de Bordeaux, Jun 2020, Saint Pierre d'Oléron, France. ⟨hal-02933476⟩

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