[2301.10761] Fillers in Spoken Language Understanding: Computational and Psycholinguistic Perspectives
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Computer Science > Computation and Language

arXiv:2301.10761 (cs)
[Submitted on 25 Jan 2023 (v1), last revised 24 Mar 2023 (this version, v4)]

Title:Fillers in Spoken Language Understanding: Computational and Psycholinguistic Perspectives

Authors:Tanvi Dinkar, Chloé Clavel, Ioana Vasilescu
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Abstract:Disfluencies (i.e. interruptions in the regular flow of speech), are ubiquitous to spoken discourse. Fillers ("uh", "um") are disfluencies that occur the most frequently compared to other kinds of disfluencies. Yet, to the best of our knowledge, there isn't a resource that brings together the research perspectives influencing Spoken Language Understanding (SLU) on these speech events. This aim of this article is to survey a breadth of perspectives in a holistic way; i.e. from considering underlying (psycho)linguistic theory, to their annotation and consideration in Automatic Speech Recognition (ASR) and SLU systems, to lastly, their study from a generation standpoint. This article aims to present the perspectives in an approachable way to the SLU and Conversational AI community, and discuss moving forward, what we believe are the trends and challenges in each area.
Comments: \footnote{This article has been published in the journal "Traitement Automatique des Langues" 63(3): 37-62, 2022,@ATALA. The original manuscript is available on the web site this http URL}
Subjects: Computation and Language (cs.CL); Human-Computer Interaction (cs.HC)
Cite as: arXiv:2301.10761 [cs.CL]
  (or arXiv:2301.10761v4 [cs.CL] for this version)
  https://doi.org/10.48550/arXiv.2301.10761

Submission history

From: Tanvi Dinkar [view email]
[v1] Wed, 25 Jan 2023 18:55:05 UTC (281 KB)
[v2] Wed, 8 Mar 2023 19:10:39 UTC (671 KB)
[v3] Fri, 10 Mar 2023 11:04:26 UTC (671 KB)
[v4] Fri, 24 Mar 2023 15:35:49 UTC (671 KB)
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