A freely-available system for browser-based Q&amp;A practice in English, with speech recognition

O’Brien, Myles

doi:10.4995/eurocall.2019.12343

Cited by 3 publications

(2 citation statements)

References 19 publications

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“…It is necessary to optimize and cluster the statistical information of network teaching quality classi cation and evaluation. It is necessary to integrate the clustering characteristics of data to schedule and identify the network teaching quality classi cation and evaluation system of mobile terminal so as to improve the ability of classi cation and evaluation of network teaching quality and statistical analysis [2].…”

Section: Introductionmentioning

confidence: 99%

A Mobile Terminal-Based College English Teaching Evaluation Method

Gao

2022

Mathematical Problems in Engineering

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At the moment, the existing teaching evaluation system cannot be used for wireless data input and reception, limiting the system's application scope and making it less practical. As a result, a new system for evaluating college English teaching is being developed using a mobile terminal. The English teaching quality model is constructed using the Internet of Things mobile platform, and the network teaching structure is analyzed using the model parameters to monitor and control the teaching progress. A classification and evaluation system will be established in conjunction with the campus network and intelligent sensor networking technology. The development environment and overall design of the mobile terminal are used to create an evaluation system for English teaching in an Internet of Things environment. Create the critical architecture based on the B/S model. In the section on system software design, we mine data from English teaching resources, evaluate students’ progress toward English proficiency, and use convolutional neural networks to evaluate the quality of English teaching. The teaching results are output according to the distribution of convolutional layers, allowing us to analyze the level of English instruction in colleges and universities. Comparative experiments demonstrate that this research system has a higher information query efficiency, a lower convergent error of 4 ms, and a higher evaluation accuracy for oral English, English writing, and English reading.

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Section: Introductionmentioning

confidence: 99%

A Mobile Terminal-Based College English Teaching Evaluation Method

Gao

2022

Mathematical Problems in Engineering

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“…Without this process, the English acquired by the students will be mute English and Chinglish. Language learning is a comprehensive skill acquisition process, listening, speaking, reading, writing, translation, and many other aspects need to interact to be well mastered and make it their own skills [10,11]. Environmental factors (authenticity of language use and richness of language materials).…”

Section: Introductionmentioning

confidence: 99%

A Web-Based Auxiliary Teaching System for College English

Wang

2022

Mathematical Problems in Engineering

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In order to optimize the application quality of the English auxiliary teaching system, shorten the system response time and CPU utilization, design a Web-based college English auxiliary teaching system, and test its application effect. Using the B/S mode in the Web, install the developed auxiliary teaching system on the server of the control center. The B/S function modules in the system software include the presentation layer, application service layer, and resource layer. Based on this, design the user management module and college English auxiliary teaching functions and allocate bandwidth to the platform resource transmission rate to maximize network utility, reduce platform data transmission failures, and optimize the quality of English auxiliary teaching. The experimental results demonstrate that the system based on the B/S multilayer structure passed all of its tests, showing that it is relatively robust and capable of meeting the needs of college English teaching aids for students and teachers while also achieving the desired outcomes. The teaching information communication delay and response time of the designed system are shorter, and the central processing unit (CPU) utilization rate is also lower.

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Intelligent Robot English Speech Recognition Method Based on Online Database

Wu¹,

Guicang²

2022

J. Info. Know. Mgmt.

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In order to solve the problem of low accuracy of traditional English speech recognition, an intelligent robot English speech recognition method based on online database is proposed. A speech recognition device is installed on the intelligent robot as the hardware support for running the speech recognition method. The online English speech standard database is constructed to provide reference data for speech recognition. The real-time speech information is collected, and the speech signal is preprocessed by pre-emphasis, framing, windowing and other steps. According to the principle of speech signal generation, the features of speech signal are extracted, and the results of English speech recognition are obtained by similarity calculation and matching. Compared with the traditional recognition method, the experimental results show that the recognition rate of the optimised speech recognition method is improved by 1.3%, i.e. the recognition accuracy is improved.

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A freely-available system for browser-based Q&A practice in English, with speech recognition

Cited by 3 publications

References 19 publications

A Mobile Terminal-Based College English Teaching Evaluation Method

A Mobile Terminal-Based College English Teaching Evaluation Method

A Web-Based Auxiliary Teaching System for College English

Intelligent Robot English Speech Recognition Method Based on Online Database

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