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Please use this identifier to cite or link to this item: http://hdl.handle.net/10373/958

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Title: Using whole utterance prediction rate to increase conversational rate
Authors: Archibald, Jacqueline
File, Portia
Affiliation: University of Abertay Dundee. School of Computing & Engineering Systems
Keywords: Pre-stored speech
Utterance predication
Augmentative communication
Issue Date: 7-Aug-2008
Publisher: ISAAC
Type: Conference Paper
Refereed: peer-reviewed
Rights: Published version (c)International Society for Augmentative and Alternative Communication (ISAAC)
Citation: Archibald, J. and File, P. 2008. Using whole utterance prediction rate to increase conversational rate. In: Proceedings of 13th Biennial Conference of the International Society of Augmentative and Alternative Communication, Montreal, Canada, 4-7 August, 2008
Abstract: 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.
URI: http://hdl.handle.net/10373/958
ISBN: 9780981046303
Appears in Collections:Computing & Engineering Systems Collection

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