Result 1 to 20 from 30 total
Using knowledge about misunderstandings to increase the robustness of spoken dialogue systems. (English)
Sojka, Petr (ed.) et al., Text, speech and dialogue. 13th international conference, TSD 2010, Brno, Czech Republic, September 6‒10, 2010. Proceedings. Berlin: Springer (ISBN 978-3-642-15759-2/pbk). Lecture Notes in Computer Science 6231. Lecture Notes in Artificial Intelligence, 523-530 (2010).
1
A methodology for learning optimal dialog strategies. (English)
Sojka, Petr (ed.) et al., Text, speech and dialogue. 13th international conference, TSD 2010, Brno, Czech Republic, September 6‒10, 2010. Proceedings. Berlin: Springer (ISBN 978-3-642-15759-2/pbk). Lecture Notes in Computer Science 6231. Lecture Notes in Artificial Intelligence, 507-514 (2010).
2
A multimodal dialogue system for an ambient intelligent application in home environments. (English)
Sojka, Petr (ed.) et al., Text, speech and dialogue. 13th international conference, TSD 2010, Brno, Czech Republic, September 6‒10, 2010. Proceedings. Berlin: Springer (ISBN 978-3-642-15759-2/pbk). Lecture Notes in Computer Science 6231. Lecture Notes in Artificial Intelligence, 491-498 (2010).
3
Using knowledge of misunderstandings to increase the robustness of spoken dialogue systems (English)
Knowl.-Based Syst. 23, No. 5, 471-485 (2010).
4
Statistical dialog management methodologies for real applications (English)
SIGDIAL Conference, 269-272 (2010).
5
Acquisition and evaluation of a dialog corpus by means of real and simulated users (English)
Intelligent Environments (Workshops), 32-41 (2010).
6
Mayordomo: ambient intelligence in a home environment (English)
Intelligent Environments (Workshops), 14-23 (2010).
7
Design and development of a multimodal dialogue system to support university tutorship (English)
Intelligent Environments (Workshops), 79-85 (2010).
8
Using ambient intelligence information in a multimodal dialogue system (English)
Intelligent Environments (Workshops), 52-60 (2010).
9
A multimodal dialogue system for an ambient intelligent application in home environments (English)
TSD, 491-498 (2010).
10
Using knowledge about misunderstandings to increase the robustness of spoken dialogue systems (English)
TSD, 523-530 (2010).
11
A methodology for learning optimal dialog strategies (English)
TSD, 507-514 (2010).
12
A comparison between dialog corpora acquired with real and simulated users (English)
SIGDIAL Conference, 326-332 (2009).
13
Improving acceptability assessment for the labelling of affective speech corpora (English)
INTERSPEECH, 2863-2866 (2009).
14
Two-level fusion to improve emotion classification in spoken dialogue systems. (English)
Sojka, Petr (ed.) et al., Text, speech and dialogue. 11th international conference, TSD 2008, Brno, Czech Republic, September 8‒12, 2008. Proceedings. Berlin: Springer (ISBN 978-3-540-87390-7/pbk). Lecture Notes in Computer Science 5246. Lecture Notes in Artificial Intelligence, 617-624 (2008).
15
ASR post-correction for spoken dialogue systems based on semantic, syntactic, lexical and contextual information. (English)
Speech Commun. 50, No. 8-9, 745-766 (2008).
16
Relations between de-facto criteria in the evaluation of a spoken dialogue system. (English)
Speech Commun. 50, No. 8-9, 646-665 (2008).
17
Influence of contextual information in emotion annotation for spoken dialogue systems. (English)
Speech Commun. 50, No. 5, 416-433 (2008).
18
On the use of Kappa coefficients to measure the reliability of the annotation of non-acted emotions. (English)
André, Elisabeth (ed.) et al., Perception in multimodal dialogue systems. 4th IEEE tutorial and research workshop on perception and interactive technologies for speech-based systems, PIT 2008, Kloster Irsee, Germany, June 16‒18, 2008. Proceedings. Berlin: Springer (ISBN 978-3-540-69368-0/pbk). Lecture Notes in Computer Science 5078. Lecture Notes in Artificial Intelligence, 221-232 (2008).
19
Relations between de-facto criteria in the evaluation of a spoken dialogue system (English)
Speech Communication 50, No. 8-9, 646-665 (2008).
20
Result 1 to 20 from 30 total
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