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Communication Dans Un Congrès Année : 2020

How Confident Are You? Exploring The Role Of Fillers In The Automatic Prediction Of A Speaker’s Confidence

Résumé

"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 and challenging task, that is the prediction of FOAK, which we think has widespread applicability, given the increasing popularity of automatic processing of educational and job interviews, reviews and speeches. 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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Dates et versions

hal-02942182 , version 1 (17-09-2020)

Identifiants

Citer

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. 45th International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2020), May 2020, Barcelona, Spain. pp.8104-8108, ⟨10.1109/ICASSP40776.2020.9054374⟩. ⟨hal-02942182⟩

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