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» Characterizing and Predicting Corrections in Spoken Dialogue...
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NAACL
2010
13 years 5 months ago
Learning about Voice Search for Spoken Dialogue Systems
In a Wizard-of-Oz experiment with multiple wizard subjects, each wizard viewed automated speech recognition (ASR) results for utterances whose interpretation is critical to task s...
Rebecca J. Passonneau, Susan L. Epstein, Tiziana L...
ICCPOL
2009
Springer
14 years 1 months ago
Dialogue Strategies to Overcome Speech Recognition Errors in Form-Filling Dialogue
Abstract. In a spoken dialogue system, the speech recognition performance accounts for the largest part of the overall system performance. Yet spontaneous speech recognition has an...
Sangwoo Kang, Songwook Lee, Jungyun Seo
NAACL
1994
13 years 8 months ago
Predicting and Managing Spoken Disfluencies During Human-Computer Interaction
This research characterizes the spontaneous spoken disfluencies typical of human-computer interaction, and presents a predictive model accounting for their occurrence. Data were c...
Sharon L. Oviatt
COLING
2008
13 years 8 months ago
Applying Discourse Analysis and Data Mining Methods to Spoken OSCE Assessments
This paper looks at the transcribed data of patient-doctor consultations in an examination setting. The doctors are internationally qualified and enrolled in a bridging course as ...
Meladel Mistica, Timothy Baldwin, Marisa Cordella,...
INTETAIN
2005
Springer
14 years 26 days ago
Grounding Emotions in Human-Machine Conversational Systems
In this paper we investigate the role of user emotions in human-machine goal-oriented conversations. There has been a growing interest in predicting emotions from acted and non-act...
Giuseppe Riccardi, Dilek Z. Hakkani-Tür