Using whole utterance prediction rate to increase conversational rate

Jacqueline Archibald; Portia File

Using whole utterance prediction rate to increase conversational rate

Research output: Chapter in Book/Report/Conference proceeding › Conference 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 language	English
Title of host publication	Proceedings of 13th Biennial Conference of the International Society of Augmentative and Alternative Communication, Montreal, Canada, 4-7 August, 2008
Publisher	ISAAC
ISBN (Print)	9780981046303
Publication status	Published - 7 Aug 2008
Event	13th Biennial Conference of the International Society of Augmentative and Alternative Communication: Leading the Way - Montreal, Canada Duration: 4 Aug 2008 → 7 Aug 2008 Conference number: 13th

Conference

Conference	13th Biennial Conference of the International Society of Augmentative and Alternative Communication
Abbreviated title	ISAAC 2008
Country/Territory	Canada
City	Montreal
Period	4/08/08 → 7/08/08

Keywords

Augmentative communication
Pre-stored speech
Utterance predication

Cite this

@inproceedings{3a6fe6eea2ce4af98fddd8ccfaf38f33,

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 = aug,

day = "7",

language = "English",

isbn = "9780981046303",

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

publisher = "ISAAC",

note = "13th Biennial Conference of the International Society of Augmentative and Alternative Communication : Leading the Way, ISAAC 2008 ; Conference date: 04-08-2008 Through 07-08-2008",

}

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, 4/08/08.

TY - GEN

T1 - Using whole utterance prediction rate to increase conversational rate

AU - Archibald, Jacqueline

AU - File, Portia

N1 - Conference code: 13th

PY - 2008/8/7

Y1 - 2008/8/7

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

T2 - 13th Biennial Conference of the International Society of Augmentative and Alternative Communication

Y2 - 4 August 2008 through 7 August 2008

ER -

Using whole utterance prediction rate to increase conversational rate

Abstract

Conference

Keywords

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