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more » Android-based mobile educational platform for speech signal processing
Vol 54, Issue 1, 2017
Nan Zhao, Minghu Wu, Jingjing Chen First Published April 6, 2016
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Abstract With the purpose of further mastering and grasping the course of speech signal processing, a novel Androidbased, mobile-assisted educational platform (AEPS) is proposed in this paper. The goal of this work was to design AEPS as an educational signal-processing auxiliary system by simulating signal analysis methods commonly used in speech signal processing and bridging the gap for transition from undergraduate study to industry practice or academic research. The educational platform is presented in a highly intuitive, easy-tointerpret and strongly maneuverable graphical user interface. It also has the characteristics of high portability, strong affordability, and easy adoptability for application extension and popularization. Through adequate intuitive user interface, rich visual information, and extensive hands-on experiences, it greatly facilitates students
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in authentic, interactive, and creative learning. This paper details a subjective evaluation of AEPS’s effectiveness
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as an educational tool. The result of the experiences shows that the proposed platform not only promotes the students’ learning interest and practical ability but also consolidates their understanding and impression of
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theoretical concepts.
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Keywords Android, speech signal processing, mobile educational platform, hands-on experiences Cite
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International Journal of Electrical Engineering Education ISSN: 0020-7209 Online ISSN: 2050-4578