Recognizing Uncertainty in Speech

Details Recognizing Uncertainty in Speech Recognizing Uncertainty in Speech

2011-03-09

arxiv.org/abs/1103.1898v1

EURASIP Journal on Advances in Signal Processing, Volume 2011, Article ID 251753, 11 pages

Computer Science

Computation and Language

11 pages

Scientific paper

10.1155/2011/251753

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.

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