
Speech Recognition Software for Teaching Foreign Language-Student Perceptions of Production Ability
PROCEEDINGS
Deborah Cordier, University of South Florida-Second Language Acquisiton/Instructional Technology (SLAIT), United States ; Robert Summers, University of South Florida, United States ; Robert Cooksey, University of South Florida-Academic Computing, United States
EdMedia + Innovate Learning, in Orlando, FL USA ISBN 978-1-880094-60-0 Publisher: Association for the Advancement of Computing in Education (AACE), Waynesville, NC
Abstract
Abstract: A renewed and vibrant focus on global 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 are (Lafford, 2004) functional components of CALL designs for FL teaching and learning. The ASR features available with the Tell Me More French (Auralog) software provides FL speech pronunciation and intonation practice and feedback. ARS features are examined quantitatively through French student performance of recorded speech, with visual feedback of waveforms and pitch tracking. Qualitative analysis of student perceptions of ASR used for FL pronunciation and performance are evaluated for positive impact (Chapelle, 2001) and usability.
Citation
Cordier, D., Summers, R. & Cooksey, R. (2006). Speech Recognition Software for Teaching Foreign Language-Student Perceptions of Production Ability. In E. Pearson & P. Bohman (Eds.), Proceedings of ED-MEDIA 2006--World Conference on Educational Multimedia, Hypermedia & Telecommunications (pp. 734-741). Orlando, FL USA: Association for the Advancement of Computing in Education (AACE). Retrieved September 26, 2023 from https://www.learntechlib.org/primary/p/23089/.
© 2006 Association for the Advancement of Computing in Education (AACE)
Keywords
References
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