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Title: Enhancing oral English self-study: a speech knowledge recognition algorithm approach

Authors: Yuanyuan Zhang

Addresses: International Education School of Jiangsu Maritime Institute, Nanjing, Jiangsu, 211170, China

Abstract: In today's globally connected world, English proficiency is vital for effective communication. This paper introduces a novel approach utilising a speech knowledge recognition algorithm to evaluate oral English self-study. Through a comprehensive analysis comparing self-study with standard oral English, aspects such as acoustics, rhythm, and perception are assessed. By integrating both subjective and objective evaluations, the proposed algorithm provides a robust framework for assessing oral English proficiency. The ultimate goal is to improve the efficiency and efficacy of English self-study. Simulation results affirm the effectiveness of the speech knowledge recognition algorithm in evaluating oral English proficiency.

Keywords: speech knowledge recognition algorithm; oral English score; error detection; prosodic correction.

DOI: 10.1504/IJICT.2024.140325

International Journal of Information and Communication Technology, 2024 Vol.25 No.5, pp.40 - 49

Received: 10 Apr 2024
Accepted: 23 May 2024
Published online: 02 Aug 2024 *