Research on Network Oral English Teaching System Based on Machine Learning

Abstract

With the development of computer science and technology and the advancement of language teaching and learning methods, computer-assisted language learning technology has made it possible to solve this problem. In the area of oral learning, some computer-assisted language learning systems at home and abroad mainly focus on the learning of words and grammar and only have one or two evaluation indicators as the basis of evaluation, which have certain functional defects and can only give an overall rating to learners’ pronunciation. To address these problems, this paper takes the English speech of Chinese college students as the research object and improves the traditional computerized English pronunciation quality evaluation method by considering multiplicative evaluation indexes, such as pitch, speed, rhythm, and intonation; i.e., pitch evaluation is based on frequency central feature parameters, speech speed evaluation based on speech duration, rhythm evaluation. The method of pitch, speed, rhythm, and intonation evaluation has been experimentally verified to be reliable. Furthermore, considering the weight of the above multiplicative evaluation indexes.

Language Dissemination Paths and Modes Aided by Computer Technology

“…Liu [20] have presented investigation on network oral English teaching system depend on ML. Here, uses the college students' English speech as an investigation object and boosts traditional computerized spoken English quality assessment technique by taking into account exponential assessments searches likes pitch, speed, rhythm, intonation; that was, pitch assessment was depend on frequency central feature parameters and speech speed assessment depend on speech length of time, and melody measurement.…”

“…& b brepresents the two numerical values.Step 7: Updating object's positionAfter determining every planet's velocity, its new location may be calculated using the following algebraic formula is expressed in equation(20),…”

Retracted: Research on Network Oral English Teaching System Based on Machine Learning

“…Tis article has been retracted by Hindawi following an investigation undertaken by the publisher [1]. Tis investigation has uncovered evidence of one or more of the following indicators of systematic manipulation of the publication process:…”