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» Characterizing and Predicting Corrections in Spoken Dialogue...
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ACL
2004
13 years 8 months ago
Combining Acoustic and Pragmatic Features to Predict Recognition Performance in Spoken Dialogue Systems
We use machine learners trained on a combination of acoustic confidence and pragmatic plausibility features computed from dialogue context to predict the accuracy of incoming n-be...
Malte Gabsdil, Oliver Lemon
NAACL
2003
13 years 8 months ago
Towards Emotion Prediction in Spoken Tutoring Dialogues
Human tutors detect and respond to student emotional states, but current machine tutors do not. Our preliminary machine learning experiments involving transcription, emotion annot...
Diane J. Litman, Katherine Forbes, Scott Silliman
COLING
2000
13 years 7 months ago
Processing Self Corrections in a speech to speech system
Speech repairs occur often in spontaneous spoken dialogues. The ability to detect and correct those repairs is necessary for any spoken language system. We present a framework to ...
Jörg Spilker, Martin Klarner, Günther G&...
UM
2009
Springer
14 years 1 months ago
A Model of Temporally Changing User Behaviors in a Deployed Spoken Dialogue System
Abstract. User behaviors on a system vary not only among individuals but also within the same user when he/she gains experience on the system. We empirically investigated how indiv...
Kazunori Komatani, Tatsuya Kawahara, Hiroshi G. Ok...