Publishing Partner: Cambridge University Press CUP Extra Publisher Login
amazon logo
More Info


New from Oxford University Press!

ad

Cognitive Literary Science

Edited by Michael Burke and Emily T. Troscianko

Cognitive Literary Science "Brings together researchers in cognitive-scientific fields and with literary backgrounds for a comprehensive look at cognition and literature."


New from Cambridge University Press!

ad

Intonation and Prosodic Structure

By Caroline Féry

Intonation and Prosodic Structure "provides a state-of-the-art survey of intonation and prosodic structure."


Academic Paper


Title: Developing and evaluating an oral skills training website supported by automatic speech recognition technology
Author: Howard Hao-Jan Chen
Institution: National Taiwan Normal University
Linguistic Field: Applied Linguistics; Computational Linguistics
Subject Language: English
Abstract: Oral communication ability has become increasingly important to many EFL students. Several commercial software programs based on automatic speech recognition (ASR) technologies are available but their prices are not affordable for many students. This paper will demonstrate how the Microsoft Speech Application Software Development Kit (SASDK), a free but powerful tool, can be used to develop an oral skills training website for EFL students. This ASR-based website offers six different types of online exercises which allow students to practise their oral skills and obtain immediate feedback on their performance. A group of 25 college students and a group of 35 pre-service English teachers were invited to use the website. Two surveys were conducted to investigate the students??? and the pre-service teachers??? perceptions of this site. The results indicated that most teachers and students enjoyed using this website, which they felt could help improve their English oral skills. They also pointed out that the main strength of the ASR-based learning system is that it offers several different types of exercises which can encourage learners to produce more output in a low-anxiety environment. The major limitations of the website are the insufficient feedback and the challenging standards one must meet in order to achieve a pass mark. These findings can be useful for teachers who are interested in using ASR in teaching and for CALL researchers who aim to develop better ASR-based systems for language learning.

CUP AT LINGUIST

This article appears IN ReCALL Vol. 23, Issue 1.

Return to TOC.

Add a new paper
Return to Academic Papers main page
Return to Directory of Linguists main page