Recognizing Uncertainty in Speech

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Recognizing Uncertainty in Speech

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Title: Recognizing Uncertainty in Speech
Author: Shieber, Stuart M. ORCID  0000-0002-7733-8195 ; Pon-Barry, Heather Roberta

Note: Order does not necessarily reflect citation order of authors.

Citation: Pon-Barry, Heather Roberta, and Stuart M. Shieber. 2011. Recognizing uncertainty in speech. EURASIP Journal on Advances in Signal Processing 2011:251753.
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Research Data: http://hdl.handle.net/1902.1/15364
Abstract: We address the problem of inferring a speaker’s level of certainty based on prosodic information in the speech signal, which has application in speech-based dialogue systems. We show that using phrase-level prosodic features centered around the phrases causing uncertainty, in addition to utterance-level prosodic features, improves our model’s level of certainty classification. In addition, our models can be used to predict which phrase a person is uncertain about. These results rely on a novel method for eliciting utterances of varying levels of certainty that allows us to compare the utility of contextually-based feature sets. We elicit level of certainty ratings from both the speakers themselves and a panel of listeners, finding that there is often a mismatch between speakers’ internal states and their perceived states, and highlighting the importance of this distinction.
Published Version: doi:10.1155/2011/251753
Other Sources: http://hdl.handle.net/1902.1/15364
http://www.hindawi.com/journals/asp/aip.251753.html
Terms of Use: This article is made available under the terms and conditions applicable to Open Access Policy Articles, as set forth at http://nrs.harvard.edu/urn-3:HUL.InstRepos:dash.current.terms-of-use#OAP
Citable link to this page: http://nrs.harvard.edu/urn-3:HUL.InstRepos:4596186
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