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Root Cause Analysis of Miscommunication Hotspots in Spoken Dialogue Systems
KTH, School of Computer Science and Communication (CSC), Speech, Music and Hearing, TMH. KTH, Tal-kommunikation.ORCID iD: 0000-0002-7412-0967
KTH, School of Computer Science and Communication (CSC), Speech, Music and Hearing, TMH.ORCID iD: 0000-0002-8773-9216
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2016 (English)In: Interspeech 2016, San Francisco, CA, USA: International Speech Communication Association, 2016Conference paper, Published paper (Refereed)
Abstract [en]

A major challenge in Spoken Dialogue Systems (SDS) is the detection of problematic communication (hotspots), as well as the classification of these hotspots into different types (root cause analysis). In this work, we focus on two classes of root cause, namely, erroneous speech recognition vs. other (e.g., dialogue strategy). Specifically, we propose an automatic algorithm for detecting hotspots and classifying root causes in two subsequent steps. Regarding hotspot detection, various lexico-semantic features are used for capturing repetition patterns along with affective features. Lexico-semantic and repetition features are also employed for root cause analysis. Both algorithms are evaluated with respect to the Let’s Go dataset (bus information system). In terms of classification unweighted average recall, performance of 80% and 70% is achieved for hotspot detection and root cause analysis, respectively.

Place, publisher, year, edition, pages
San Francisco, CA, USA: International Speech Communication Association, 2016.
National Category
Computer Science Language Technology (Computational Linguistics)
Identifiers
URN: urn:nbn:se:kth:diva-193937DOI: 10.21437/Interspeech.2016-1273ISI: 000409394400240Scopus ID: 2-s2.0-84994350325OAI: oai:DiVA.org:kth-193937DiVA: diva2:1034695
Conference
Interspeech 2016
Note

QC 20161017. tmh_import_16_10_12, tmh_id_4054

Available from: 2016-10-12 Created: 2016-10-12 Last updated: 2017-10-30Bibliographically approved

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Meena, RaveeshDavid Lopes, JoséSkantze, Gabriel
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CiteExportLink to record
Permanent link

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