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INTERSPEECH 2006 Discourse Structure and Speech Recognition Problems

Rotaru, Mihai and Litman, Diane J. (2006) INTERSPEECH 2006 Discourse Structure and Speech Recognition Problems. In: Interspeech 2006.

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Abstract

We study dependencies between discourse structure and speech recognition problems (SRP) in a corpus of speech-based computer tutoring dialogues. This analysis can inform us whether there are places in the discourse structure prone to more SRP. We automatically extract the discourse structure by taking advantage of how the tutoring information is encoded in our system. To quantify the discourse structure, we extract two features for each system turn: depth of the turn in the discourse structure and the type of transition from the previous turn to the current turn. The χ2 test is used to find significant dependencies. We find several interesting interactions which suggest that the discourse structure can play an important role in several dialogue related tasks: automatic detection of SRP and analyzing spoken dialogues systems with a large state space from limited amounts of available data. Index Terms: discourse structure, speech recognition analysis, spoken dialogue systems.


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Details

Item Type: Conference or Workshop Item (Paper)
Status: Published
Creators/Authors:
CreatorsEmailPitt UsernameORCID
Rotaru, Mihai
Litman, Diane J.dlitman@pitt.eduDLITMAN
Centers: University Centers > Learning Research and Development Center (LRDC)
Date: 2006
Date Type: Publication
Event Title: Interspeech 2006
Event Type: Conference
Schools and Programs: Dietrich School of Arts and Sciences > Computer Science
Dietrich School of Arts and Sciences > Intelligent Systems
Refereed: Yes
Date Deposited: 05 Jan 2015 14:59
Last Modified: 01 Nov 2017 13:57
URI: http://d-scholarship.pitt.edu/id/eprint/23272

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