COMPUTER BASED ENGLISH SPEAKING TEST BASED ON ARTIFICAL NEURAL NETWORK
DOI:
https://doi.org/10.51594/csitrj.v1i1.132Keywords:
English Test, Automated Test, Computer Based, Neural NetworkAbstract
English testing is a most common test conducted around the world for evaluating an individual’s English capabilities in mostly reading, writing, speaking, and listening domain. With increased cost and higher subjective assessment attached in some tests, there is required to change the test from traditional method to computer based. In this study, a proposed method for conducting speaking test for English based on objective assessment method. The proposed system is able to identify different dialects based on unit analysis of syllable along with phonetic errors. The proposed system is based on pronunciation parameters and neural network for evaluation purpose. The PSO algorithm is used for training the artificial neural network. The experiment result conducted for validating the proposed system shows promising performancePublished
2020-04-18
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Articles
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1. Authors retain the copyright and grant us (Fair East Publishing and its subsidiary journals) the right for first publication with the work licensed under a Creative Commons Attribution (CC BY) License which permits others to share the work with an acknowledgment of the work’s authorship and initial publication in this journal. Under this license, author retains the ownership of the copyright of their content, but anyone is allowed to download, reuse, reprint, modify, distribute, and/or copy the contents as long as the original authors and source are cited. No permission is required from the publishers or authors.
2. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal’s published version of the work (for example, publishing it as a book or submitting it to an institutional repository), with an acknowledgment of its initial publication in Fair East Publishing owned journals.
3. We encourage our authors/contributors to post their work online (such as posting it on their website or some institutional repositories) prior to and during the submission process since it produces scholarly exchange and greater and earlier citation of published work.
