COMPUTER BASED ENGLISH SPEAKING TEST BASED ON ARTIFICAL NEURAL NETWORK

Authors

  • Yu Min Department of Computer Science and Technology, Nanjing University
  • Chao Li Department of Computer Science and Technology, Nanjing University
  • Xin Wang Department of Computer Science and Technology, Nanjing University

DOI:

https://doi.org/10.51594/csitrj.v1i1.132

Keywords:

English Test, Automated Test, Computer Based, Neural Network

Abstract

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 performance

Published

2020-04-18

Issue

Section

Articles