Date: 08-Mar-2010
From: Deborah Cordier <deb.cordier 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:
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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