Innovation and Entrepreneurship Education Project Based on Big Data and Cloud Computing: A Case Study of Intelligent Consulting in Speech Recognition

Currently, innovation and entrepreneurship education is a vital component of information education. By leveraging big data and cloud computing services, rapid project development can significantly shorten the cycle of innovation and entrepreneurship education projects, thereby enhancing their efficiency. This paper presents a low-cost intelligent consultation application based on automatic speech recognition technology as a case study. It illustrates how to effectively utilize big data and cloud computing services to quickly develop internship projects. Through this example, students can learn to create applications based on big data and cloud computing without the delays associated with complex theoretical learning. This case can be easily adapted to develop various similar applications by switching between different big data and cloud computing platforms, making it well-suited for promotion in innovation and entrepreneurship education.

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Publication Details

Published
2025-02-21
DOI
https://doi.org/10.1145/3729605.3729607
Primary Topic
AI and Big Data Applications
Type
article
Field-Weighted Citation Impact
0.00

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article

Innovation and Entrepreneurship Education Project Based on Big Data and Cloud Computing: A Case Study of Intelligent Consulting in Speech Recognition

Y.L. Chen, Shenghui Liu, Lintao Zhang, Lin Ping et al.
AI and Big Data Applications
article

Innovation and Entrepreneurship Education Project Based on Big Data and Cloud Computing: A Case Study of Intelligent Consulting in Speech Recognition

Y.L. Chen, Shenghui Liu, Lintao Zhang, Lin Ping, Xue Wang
article en

Abstract

Currently, innovation and entrepreneurship education is a vital component of information education. By leveraging big data and cloud computing services, rapid project development can significantly shorten the cycle of innovation and entrepreneurship education projects, thereby enhancing their efficiency. This paper presents a low-cost intelligent consultation application based on automatic speech recognition technology as a case study. It illustrates how to effectively utilize big data and cloud computing services to quickly develop internship projects. Through this example, students can learn to create applications based on big data and cloud computing without the delays associated with complex theoretical learning. This case can be easily adapted to develop various similar applications by switching between different big data and cloud computing platforms, making it well-suited for promotion in innovation and entrepreneurship education.

Linyi University (CN)
Linyi University
Decent work and economic growth
Openalex Percentile: Top 84%
AI and Big Data Applications
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