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The greennn tree - lengthening position influences uncertainty perception
KTH, School of Electrical Engineering and Computer Science (EECS), Intelligent systems, Speech, Music and Hearing, TMH.ORCID iD: 0000-0003-1175-840X
2019 (English)In: Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH 2019, The International Speech Communication Association (ISCA), 2019, p. 3990-3994Conference paper, Published paper (Refereed)
Abstract [en]

Synthetic speech can be used to express uncertainty in dialogue systems by means of hesitation. If a phrase like “Next to the green tree” is uttered in a hesitant way, that is, containing lengthening, silences, and fillers, the listener can infer that the speaker is not certain about the concepts referred to. However, we do not know anything about the referential domain of the uncertainty; if only a particular word in this sentence would be uttered hesitantly, e.g. “the greee:n tree”, the listener could infer that the uncertainty refers to the color in the statement, but not to the object. In this study, we show that the domain of the uncertainty is controllable. We conducted an experiment in which color words in sentences like “search for the green tree” were lengthened in two different positions: word onsets or final consonants, and participants were asked to rate the uncertainty regarding color and object. The results show that initial lengthening is predominantly associated with uncertainty about the word itself, whereas final lengthening is primarily associated with the following object. These findings enable dialogue system developers to finely control the attitudinal display of uncertainty, adding nuances beyond the lexical content to message delivery.

Place, publisher, year, edition, pages
The International Speech Communication Association (ISCA), 2019. p. 3990-3994
Series
Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH, ISSN 2308-457X ; 2019
National Category
Computer and Information Sciences
Identifiers
URN: urn:nbn:se:kth:diva-261692DOI: 10.21437/Interspeech.2019-2572Scopus ID: 2-s2.0-85074695805OAI: oai:DiVA.org:kth-261692DiVA, id: diva2:1359758
Conference
20th Annual Conference of the International Speech Communication Association: Crossroads of Speech and Language, INTERSPEECH 2019; Graz; Austria; 15 September 2019 through 19 September 2019
Note

QC 20191014

Available from: 2019-10-10 Created: 2019-10-10 Last updated: 2019-12-11Bibliographically approved

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Székely, Éva

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CiteExportLink to record
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Citation style
  • apa
  • ieee
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  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
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  • Other locale
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Output format
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