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Multimodal communication error detection for driver-car interaction
FOI, Stockholm.ORCID iD: 0000-0002-5750-9655
2007 (English)In: ICINCO 2007: PROCEEDINGS OF THE FOURTH INTERNATIONAL CONFERENCE ON INFORMATICS IN CONTROL, AUTOMATION AND ROBOTICS, VOL RA-1: ROBOTICS AND AUTOMATION, VOL 1, 2007, 365-371 p.Conference paper, Published paper (Other (popular science, discussion, etc.))
Abstract [en]

Speech recognition systems are now used in a wide variety of domains. They have recently been introduced incars for hand-free control of radio, cell-phone and navigation applications. However, due to the ambient noisein the car recognition errors are relatively frequent. This paper tackles the problem of detecting when suchrecognition errors occur from the driver’s reaction. Automatic detection of communication errors in dialoguebasedsystems has been explored extensively in the speech community. The detection is most often based onprosody cues such as intensity and pitch. However, recent perceptual studies indicate that the detection can beimproved significantly if both acoustic and visual modalities are taken into account. To this end, we present aframework for automatic audio-visual detection of communication errors.

Place, publisher, year, edition, pages
2007. 365-371 p.
Keyword [en]
Audio-Visual Recognition, System Error Identification, Conversational systems
National Category
Robotics
Identifiers
URN: urn:nbn:se:kth:diva-49451ISI: 000252640800056Scopus ID: 2-s2.0-67649995881OAI: oai:DiVA.org:kth-49451DiVA: diva2:459695
Conference
4th International Conference on Informatics in Control, Automation and Robotics, Angers, FRANCE, MAY 09-12, 2007
Note
QC 20111129Available from: 2011-11-28 Created: 2011-11-28 Last updated: 2011-12-01Bibliographically approved

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Scopushttp://people.csail.mit.edu/sybor/icinco07_wang.pdf

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Kjellström, Hedvig

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CiteExportLink to record
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Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
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Language
  • de-DE
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  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
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  • text
  • asciidoc
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