Abstract
Since the mid-1980s, with the development and wide application of Internet technology, online teaching has been developing rapidly. At present, more and more schools and teachers are trying to use internet teaching mode. With the application of new generation information technology such as big data, Internet of things, mobile Internet and their deep integration with classroom teaching, online teaching has been developing. Online teaching platform is an important teaching medium under the development of information technology. The extensive application of online teaching platform will change the traditional teaching methods and realize a teaching reform combining computer technology and multimedia network technology. In the current situation of information technology, online teaching platform has been applied to all kinds of teaching in universities, primary and secondary schools. Mobile Internet technology will become an important tool for college education and teaching. In this paper, we propose an on-line network teaching platform based on intelligent speech recognition. The recognition tool is applied to validate the speeaker and the sound analysis to guarantee the quality of service.
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10 October 2022
This article has been retracted. Please see the Retraction Notice for more detail: https://doi.org/10.1007/s10772-022-10004-x
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Funding
The Youth Innovation Team of Shaanxi University (Children's Social Development and Education). Key Projects of Humanities and Social Sciences in Colleges and Universities in Anhui Province: A Study on the Adaptation Issues and Professional Development Strategies for Novice Teachers in Local Applied Universities (No. SK2015A566).
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This article has been retracted. Please see the retraction notice for more detail:https://doi.org/10.1007/s10772-022-10004-x
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Jiang, Y., Li, X. RETRACTED ARTICLE: Intelligent online education system based on speech recognition with specialized analysis on quality of service. Int J Speech Technol 23, 489–497 (2020). https://doi.org/10.1007/s10772-020-09723-w
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DOI: https://doi.org/10.1007/s10772-020-09723-w