User states, user strategies, and system performance: how to match the one with the other. Batliner, A.; Hacker, C.; Steidl, S.; Nöth, E.; and Haas, J. In Error handling in spoken dialogue systems. ISCA Tutorial and Research Workshop, pages 5-10. Château d'Oex, Vaud, Switzerland. August 28-31, 2003.
User states, user strategies, and system performance: how to match the one with the other [link]Paper  abstract   bibtex   
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.
@incollection{batliner_user_2003,
	Author = {Batliner, Anton and Hacker, Christian and Steidl, Stefan and Nöth, Elmar and Haas, Jürgen},
	Booktitle = {Error handling in spoken dialogue systems. ISCA Tutorial and Research Workshop},
	Date = {2003},
	Date-Modified = {2016-09-24 18:55:58 +0000},
	File = {Attachment:files/930/Batliner et al. - 2003 - User states, user strategies, and system performance how to match the one with the other.pdf:application/pdf},
	Keywords = {dialogue systems, speech technology},
	Pages = {5-10},
	Publisher = {Château d'Oex, Vaud, Switzerland. August 28-31, 2003},
	Title = {User states, user strategies, and system performance: how to match the one with the other},
	Url = {http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.6.2659},
	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.},
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