Research on Open Oral English Scoring System Based on Neural Network

Abstract

This study designs and implements a scoring system for open-spoken English using NN technology. The system scores the oral recording from the phonetic level and the text level, respectively, and can comprehensively evaluate its oral level. The system will separately score the spoken speech and the spoken content through different scoring models and add the scoring results as the final score, in which the spoken content is obtained by text transcription of the recording by an external speech recognition engine. An acoustic sensor is adopted to collect pronunciation signals of spoken English. Modern signal processing and automatic pattern recognition technology are used to distinguish the quality of spoken pronunciation. Similar semantic units are marked between acoustic feature sequences, which make use of the parallel algorithm processing mode of multi-computing cores of modern GPU and allow multiple units to independently execute the comparison algorithm at the same time. Experiments show that the model in this study achieves better comprehensive scoring performance. The scoring model is of great significance to the development of educational informatization and intelligence, and it also provides a reference for the construction of intelligent oral scoring system.

Design and Development of an Oral English Evaluation System Based on Speech Recognition Technology and A Scoring Algorithm

“…Xin Wang et al [10] designed and implemented a scoring algorithm for open-spoken English using the improved neural network (NN) approach. This algorithm evaluates the oral recording from both phonetic and text levels.…”

“…For each iteration, the FA technique refines and updates the parameter values using the random movement updation of fireflies, which is represented in Eqn. (10).…”

An Innovative Strategy Towards Oral English Assessment Using Machine Learning, Data Mining, and Blockchain Techniques

“…Offline, users may see a report detailing their performance across many modalities. Wang(37) uses NN technology to score open-spoken English. The system evaluates the oral recording's phonetic and text levels and oral level.…”

Retracted: Research on Open Oral English Scoring System Based on Neural Network

“…This article has been retracted by Hindawi following an investigation undertaken by the publisher [ 1 ]. This investigation has uncovered evidence of one or more of the following indicators of systematic manipulation of the publication process: Discrepancies in scope Discrepancies in the description of the research reported Discrepancies between the availability of data and the research described Inappropriate citations Incoherent, meaningless and/or irrelevant content included in the article Peer-review manipulation …”

“…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:…”