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The Prosody of Swedish Conversational Grunts
KTH, School of Computer Science and Communication (CSC), Speech, Music and Hearing, TMH, Speech Communication and Technology. KTH, School of Computer Science and Communication (CSC), Centres, Centre for Speech Technology, CTT.
KTH, School of Computer Science and Communication (CSC), Speech, Music and Hearing, TMH, Speech Communication and Technology. KTH, School of Computer Science and Communication (CSC), Centres, Centre for Speech Technology, CTT.ORCID iD: 0000-0002-0397-6442
2010 (English)In: 11th Annual Conference of the International Speech Communication Association: Spoken Language Processing for All, INTERSPEECH 2010, 2010, 2562-2565 p.Conference paper, Published paper (Refereed)
Abstract [en]

This paper explores conversational grunts in a face-to-face setting. The study investigates the prosody and turn-taking effect of fillers and feedback tokens that has been annotated for attitudes. The grunts were selected from the DEAL corpus and automatically annotated for their turn taking effect. A novel suprasegmental prosodic signal representation and contextual timing features are used for classification and visualization. Classification results using linear discriminant analysis, show that turn-initial feedback tokens lose some of their attitude-signaling prosodic cues compared to non-overlapping continuer feedback tokens. Turn taking effects can be predicted well over chance level, except Simultaneous Starts. However, feedback tokens before places where both speakers take the turn were more similar to feedback continuers than to turn initial feedback tokens.

Place, publisher, year, edition, pages
2010. 2562-2565 p.
Keyword [en]
prosody, fillers, feedback, suprasegmental, conversational grunts
National Category
Computer Science Language Technology (Computational Linguistics)
Identifiers
URN: urn:nbn:se:kth:diva-52141ISI: 000313086500255Scopus ID: 2-s2.0-79959844001ISBN: 978-1-61782-123-3 (print)OAI: oai:DiVA.org:kth-52141DiVA: diva2:465436
Conference
INTERSPEECH 2010, 11th Annual Conference of the International Speech Communication Association. Makuhari, Chiba. 26 September 2010 - 30 September 2010
Note

tmh_import_11_12_14. QC 20111222

Available from: 2011-12-14 Created: 2011-12-14 Last updated: 2014-01-09Bibliographically approved
In thesis
1. Modelling Paralinguistic Conversational Interaction: Towards social awareness in spoken human-machine dialogue
Open this publication in new window or tab >>Modelling Paralinguistic Conversational Interaction: Towards social awareness in spoken human-machine dialogue
2012 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

Parallel with the orthographic streams of words in conversation are multiple layered epiphenomena, short in duration and with a communicativepurpose. These paralinguistic events regulate the interaction flow via gaze,gestures and intonation. This thesis focus on how to compute, model, discoverand analyze prosody and it’s applications for spoken dialog systems.Specifically it addresses automatic classification and analysis of conversationalcues related to turn-taking, brief feedback, affective expressions, their crossrelationshipsas well as their cognitive and neurological basis. Techniques areproposed for instantaneous and suprasegmental parameterization of scalarand vector valued representations of fundamental frequency, but also intensity and voice quality. Examples are given for how to engineer supervised learned automata’s for off-line processing of conversational corpora as well as for incremental on-line processing with low-latency constraints suitable as detector modules in a responsive social interface. Specific attention is given to the communicative functions of vocal feedback like "mhm", "okay" and "yeah, that’s right" as postulated by the theories of grounding, emotion and a survey on laymen opinions. The potential functions and their prosodic cues are investigated via automatic decoding, data-mining, exploratory visualization and descriptive measurements.

Place, publisher, year, edition, pages
Stockholm: KTH Royal Institute of Technology, 2012. xiv, 86 p.
Series
Trita-CSC-A, ISSN 1653-5723 ; 2012:08
National Category
Language Technology (Computational Linguistics)
Identifiers
urn:nbn:se:kth:diva-102335 (URN)978-91-7501-467-8 (ISBN)
Public defence
2012-09-28, Sal F3, Lindstedtsvägen 26, KTH, Stockholm, 13:00 (English)
Opponent
Supervisors
Note

QC 20120914

Available from: 2012-09-14 Created: 2012-09-14 Last updated: 2012-09-14Bibliographically approved

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Gustafson, Joakim

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Citation style
  • apa
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  • modern-language-association-8th-edition
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Output format
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