Abstract
The paper elaborates the design procedure of the software, Self-study English Pronunciation, which is installed on Pocket PC of ARM series. Its database design includes the design of database table, memory space, storage means and data flow. The frame design includes the design of MFC framework, multiple view and packet package. Through running the software, the user can implement self-study according to the chapters and sections of syllabus, choosing any units from the contents such as text, sentence and vocabulary, and recording or replaying their own speech sounds to learn.
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References
Microsoft Windows CE Programmer’s Guide. Microsoft Press, America (1998)
Hamada, Miki, Satoshi, et al.: Automatic evaluation of English pronunciation based on speech recognition techniques. In: EUROSPEECH 1989, pp. 1421–1424 (1989)
Huggins-Daines, Kumar, Chan, et al.: Pocketsphinx: A Free, Real-Time Continuous Speech Recognition System for Hand-Held Devices. In: Proceedings of IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2006 (2006)
Dollimore, J., Kindberg, T., Coulouri, G.: Distributed Systems: Concepts and Design, 4th edn. Addison Wesley, English (2005)
Xu, P.X.: Voice dialing system, user interface design. Technology Trend, p. 232 (September 2010)
Liu, J.B., Yuan, H., Mao, Y.Y.: Based on mobile learning self - explore - Collaborative Learning Mode. China Modern Educational Equipment, 141–143 (December 2007)
Zuo, G.H.: Research of Streaming Media Based on Windows CE and Key Technologies. Tianjin University (2006)
Wang, P., Liu, J.Y., Chen, Q.P.: Analyzer based on the color WinCE research and design. Electronic Measurement Technology, 49–51 (May 2011)
Song, F.F., Song, X.L., Ma, Y.Q.: The Research of the Scoring Mechanism of Spoken English Learning System Based on the Technology of Speech Recognition. Computer Knowledge and Technology 5(7), 1726–1728 (2009)
Qiao, B., Wu, Q.L., Yin, Y.M.: Implementation of Speech Recognition Algorithm in VC++. OME Information 28(4), 50–54 (2011)
Huang, X.Y., Yu, W.P.: The Application of Speech Recognition Technology in Foreign Spoken Language Learning. Computer Systems Applications, 18–21 (June 2006)
Zhang, X.Y., Wang, H.J., Liang, J.H.: LCD system based on embedded processor and Windows CE system. Electronic Measurement Technology 31(7), 76–80 (2008)
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Hong, S., Yue, L., Jinfang, W. (2012). Research of Self-study English Pronunciation on WindowsCE. In: Liu, C., Wang, L., Yang, A. (eds) Information Computing and Applications. ICICA 2012. Communications in Computer and Information Science, vol 307. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-34038-3_17
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DOI: https://doi.org/10.1007/978-3-642-34038-3_17
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-34037-6
Online ISBN: 978-3-642-34038-3
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