Using whole utterance prediction rate to increase conversational rate
Item TypeConference Paper
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VOCAS based on pre-stored speech can increase the rate of social conversation by people who are unable to speak. Further, using such a VOCA, Todman and Rzepecka (2003) have demonstrated a strong causal relationship between average pause times for social conversation and ratings of their communicative competence. In this study, long pauses made by the person using the VOCA have been investigated with a view to reducing these long pause times. Prediction and other methods for reducing the pause lengths are discussed.
RightsPublished version (c)International Society for Augmentative and Alternative Communication (ISAAC)
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