Using whole utterance prediction rate to increase conversational rate

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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.
Original languageEnglish
Title of host publicationProceedings of 13th Biennial Conference of the International Society of Augmentative and Alternative Communication, Montreal, Canada, 4-7 August, 2008
PublisherISAAC
ISBN (Print)9780981046303
StatePublished - 7 Aug 2008
Event13th Biennial Conference of the International Society of Augmentative and Alternative Communication - Montreal, Canada

Conference

Conference13th Biennial Conference of the International Society of Augmentative and Alternative Communication
Abbreviated titleISAAC 2008
CountryCanada
CityMontreal
Period4/08/087/08/08

Cite this

Archibald, J., & 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 ISAAC.

Archibald, Jacqueline; File, Portia / Using whole utterance prediction rate to increase conversational rate.

Proceedings of 13th Biennial Conference of the International Society of Augmentative and Alternative Communication, Montreal, Canada, 4-7 August, 2008. ISAAC, 2008.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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title = "Using whole utterance prediction rate to increase conversational rate",
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.",
author = "Jacqueline Archibald and Portia File",
year = "2008",
month = "8",
isbn = "9780981046303",
booktitle = "Proceedings of 13th Biennial Conference of the International Society of Augmentative and Alternative Communication, Montreal, Canada, 4-7 August, 2008",
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Archibald, J & 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. ISAAC, 13th Biennial Conference of the International Society of Augmentative and Alternative Communication, Montreal, Canada, 4-7 August.

Using whole utterance prediction rate to increase conversational rate. / Archibald, Jacqueline; File, Portia.

Proceedings of 13th Biennial Conference of the International Society of Augmentative and Alternative Communication, Montreal, Canada, 4-7 August, 2008. ISAAC, 2008.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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T1 - Using whole utterance prediction rate to increase conversational rate

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AU - File,Portia

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N2 - 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.

AB - 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.

M3 - Conference contribution

SN - 9780981046303

BT - Proceedings of 13th Biennial Conference of the International Society of Augmentative and Alternative Communication, Montreal, Canada, 4-7 August, 2008

PB - ISAAC

ER -

Archibald J, File P. 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. ISAAC. 2008.