21.1168, Diss: Applied Ling/Lang Acq: Cordier: 'Speech Recognition Software...'

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LINGUIST List: Vol-21-1168. Tue Mar 09 2010. ISSN: 1068 - 4875.

Subject: 21.1168, Diss: Applied Ling/Lang Acq: Cordier: 'Speech Recognition Software...'

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1)
Date: 08-Mar-2010
From: Deborah Cordier < deb.cordier at gmail.com >
Subject: Speech Recognition Software for Language Learning: Toward an evaluation of validity and student perceptions
 

	
-------------------------Message 1 ---------------------------------- 
Date: Tue, 09 Mar 2010 16:32:28
From: Deborah Cordier [deb.cordier at gmail.com]
Subject: Speech Recognition Software for Language Learning: Toward an evaluation of validity and student perceptions

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Institution: University of South Florida 
Program: Second Language Acquisition/Instructional Technology 
Dissertation Status: Completed 
Degree Date: 2009 

Author: Deborah Cordier

Dissertation Title: Speech Recognition Software for Language Learning: Toward
an evaluation of validity and student perceptions 

Linguistic Field(s): Applied Linguistics
                     Language Acquisition

Subject Language(s): French (fra)


Dissertation Director(s):
James White
Roger Brindley
Linda Evans
Jacob Caflisch

Dissertation Abstract:

A renewed focus on foreign language (FL) learning and speech for
communication has resulted in computer-assisted language learning 
(CALL) software developed with Automatic Speech Recognition (ASR). 
ASR features for FL pronunciation (Lafford, 2004) are functional 
components of CALL designs used for FL teaching and learning. The 
ASR features available with the TeLL me More French software 
provides pronunciation, intonation and speaking practice and 
feedback. ASR features are examined quantitatively through French 
student performance of recorded ASR-scored speech and compared 
with human raters of the same produced speech samples. A 
comparison of ASR scores to human raters considers the validity of 
ASR-scored feedback for individualized and FL classroom instruction. 
Qualitative analyses of student performances and perceptions of ASR 
are evaluated using an online survey linked to individual pronunciations 
and performance and examined for positive impact(Chapelle, 2001) 
and usability. 




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