User States, User Strategies, and System Performance: How to Match the One with the Other
Batliner A, Hacker C, Steidl S, Nöth E, Haas J (2003)
Publication Language: English
Publication Type: Conference contribution, Conference Contribution
Publication year: 2003
Original Authors: Batliner Anton, Hacker Christian, Steidl Stefan, Nöth Elmar, Haas Jürgen
Publisher: ISCA
City/Town: -
Pages Range: 5-10
Conference Proceedings Title: Proc. of an ISCA Tutorial and Research Workshop on Error Handling in Spoken Dialogue Systems
Event location: Chateau d'Oex
URI: http://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2003/Batliner03-USU.pdf
Abstract
Apart from the ‘normal’ linguistic information entailed in user utterances – segmental (phone/word) information and syntactic/semantic information – there is additional information (supra-segmental and para-linguistic) that can be useful for deciding whether an automatic dialogue system performs well or not. In this paper, we want to deal with such additional information and correlate it with system performance. Moreover, we will examine whether prosodic peculiarities influence word recognition.
Authors with CRIS profile
Anton Batliner
Lehrstuhl für Informatik 14 (Bild- und Sprachverarbeitung)
Stefan Steidl
Lehrstuhl für Informatik 14 (Bild- und Sprachverarbeitung)
Elmar Nöth
Professur für Informatik (Mustererkennung)
Involved external institutions
Germany (DE)How to cite
APA:
Batliner, A., Hacker, C., Steidl, S., Nöth, E., & Haas, J. (2003). User States, User Strategies, and System Performance: How to Match the One with the Other. In ISCA (Eds.), Proc. of an ISCA Tutorial and Research Workshop on Error Handling in Spoken Dialogue Systems (pp. 5-10). Chateau d'Oex, CH: -: ISCA.
MLA:
Batliner, Anton, et al. "User States, User Strategies, and System Performance: How to Match the One with the Other." Proceedings of the ISCA Tutorial and Research Workshop on Error Handling in Spoken Dialogue Systems, Chateau d'Oex Ed. ISCA, -: ISCA, 2003. 5-10.
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