Design and Implementation of English Speech Scoring Data System Based on Neural Network Algorithm

Sun, Xia

doi:10.1007/978-3-030-96908-0_111

Cited by 2 publications

(1 citation statement)

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“…Although this methodology showed greater results, training the models is complex and time-consuming. Xia Sun et al [12] proposed an English speech-scoring approach using the NN technology. The primary concern of this study is to develop an English speech-scoring data system leveraging the efficiency of the NN algorithm.…”

Section: Related Workmentioning

confidence: 99%

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

Haiyan Li

2024

jes

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Proficiency in oral English plays a significant role in different professional and academic settings. However, evaluating oral English proficiency precisely is challenging because of the subjective nature of oral communication. In this study, we developed an innovative Oral English Evaluation System (OEES) by combining the efficiencies of speech recognition technology and scoring algorithms. Initially, an intensive oral English database was collected, containing numerous persons' voice recordings. The collected voice recordings are pre-processed to remove the background noise, ensuring clarity in the voice signals. Then, an automatic speech recognition algorithm was developed using the recurrent neural network (RNN) to transcribe voice signals into text. This module trains the system to map the voice signals to their corresponding textual characteristics. Finally, an adaptive scoring algorithm was incorporated into the designed OEES to evaluate the oral English proficiency of the individuals. The adaptive scoring algorithm considers different factors like fluency, grammar, pronunciation, and vocabulary for evaluating the individual's oral English proficiency as "excellent," "good," and "poor." The presented framework was modeled in Python and validated across diverse natural English-speaking databases. The experimental results are assessed in terms of accuracy, precision, recall, and error rate. The implementation outcomes suggest that the proposed OEES framework accurately evaluates oral English proficiency.

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Section: Related Workmentioning

confidence: 99%

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

Haiyan Li

2024

jes

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Design and Implementation of Community Pension Service Quality Evaluation System Based on Clustering Algorithm

Liu

2022

Advances in Multimedia

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The healthy development of community elderly care service is very important. Studying the quality evaluation of community elderly care services and establishing a complete, scientific, and objective community elderly care service method can establish the online reputation of enterprises and help elderly users obtain cost-effective elderly care services. This is very important for healthy development. This paper puts forward a new evaluation model for the quality of community elderly care service. The evaluation method based on the model is designed, the quality evaluation model is constructed, and the community evaluation system is developed. From the aspects of requirement analysis, design, implementation, and testing, the specific implementation process of the system is described. This paper puts forward a community evaluation model which accords with the clustering model: community elderly care service quality evaluation method. AIS-OR mathematical modeling is carried out. Under the guidance of the model, the secondary indicators are analyzed and determined, and the mathematical model of indicator evaluation is constructed. We use text mining technology and emotion analysis to determine the relationship between comment emotion and community elderly care service quality online and build a quality emotion feature library. The naive Bayesian algorithm is used to classify the online evaluation of the service quality of community elderly care services, which verified by experiments and completed the design and development of the community elderly care service quality evaluation system based on the project needs.

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Design and Implementation of English Speech Scoring Data System Based on Neural Network Algorithm

Cited by 2 publications

References 10 publications

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

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

Design and Implementation of Community Pension Service Quality Evaluation System Based on Clustering Algorithm

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