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Title: Research on scoring mechanism of spoken English self-study system taking into account artificial intelligence technology and speech knowledge recognition algorithm

Authors: Ning Li

Addresses: Public Teaching Department, Henan Vocational College of Tuina, Luoyang, Henan, 471023, China

Abstract: With the development of computers and the continuous progress of speech recognition technology, the use of computer-assisted language learning (CALL) system for self-study of English has become an important way for students to learn English. This paper proposes an advanced scoring mechanism for spoken English self-learning system incorporating artificial intelligence technology and speech knowledge recognition algorithm. This new mechanism aims to use intelligent technology to more accurately assess students oral expression skills and provide them with more personalised and targeted learning support.

Keywords: speech technology; Language learning system; scoring mechanism.

DOI: 10.1504/IJICT.2024.137941

International Journal of Information and Communication Technology, 2024 Vol.24 No.3, pp.350 - 365

Received: 21 Nov 2023
Accepted: 12 Dec 2023
Published online: 11 Apr 2024 *