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Conference on Education and Learning

International Conference on Database Theory and Application

EL 2012, DTA 2012: Computer Applications for Database, Education, and Ubiquitous Computing pp 150–157Cite as

Implementing Mobile Interface Based Voice Recognition System

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Part of the book series: Communications in Computer and Information Science ((CCIS,volume 352))

Abstract

Recently, as supply of smart phone is widely spreading, various voice applications for user’s convenience are under development. However, since Google Android-based smart phone delivered by Korean manufacturer processes voice recognition through Google server, it has a weakness to take long time to be processed and need activation of internet. This paper implemented Android-based voice recognition system using continuous HMM without having to use Google server. As the result of evaluation for proposed voice recognition system and Google’s voice recognition system, the proposed system showed similar voice recognition performance but its processing speed is proved to be better than Google’s.

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References

  1. Mulder, A.: Hand gestures for HCI. Technical Report 96-1, vol. Simon Fraster University (1996)

    Google Scholar 

  2. Wu, Y., Huang, T.S.: Vision-Based Gesture Recognition: A Review. In: Braffort, A., Gibet, S., Teil, D., Gherbi, R., Richardson, J. (eds.) GW 1999. LNCS (LNAI), vol. 1739, p. 103. Springer, Heidelberg (2000)

    Chapter  Google Scholar 

  3. Bau, O., Poupyrev, I., Israr, A., Harrison, C.: TeslaTouch: Electrovibration for Touch Surfaces. In: UIST (2010)

    Google Scholar 

  4. Rabiner, L.R.: A tutorial on hidden Markov models and selected applications in speech recognition. Proc. IEEE 77(2), 257–286 (1989)

    Article  Google Scholar 

  5. Reynolds, D.A., Rose, R.C.: Robust text-independent speaker identification using gaussian mixture speaker models. IEEE Transactions on Speech and Audio Processing 3(1), 72–83 (1995)

    Article  Google Scholar 

  6. Jurafsky, D., Martin, J.H.: Speech and Language Processing, 2nd edn. Prentice Hall (2008)

    Google Scholar 

  7. Rabiner, L.R., Juang, B.H.: Fundamentals of Speech Recognition. Prentice-Hall (1993)

    Google Scholar 

  8. Android NDK, http://developer.android.com/sdk/ndk/index.html

  9. Google Speech API, http://developer.android.com/sdk/index.html

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Author information

Authors and Affiliations

  1. Department of Medical IT and Marketing, Eulji University, 553, Sanseong-daero, Sujeong-gu, Seongnam-si, Gyeonggi-do, 461-713, Korea

    Myung-Jae Lim & Young-Man Kwon

  2. Department of Computer Engineering, Andong National University, Seongcheon-dongn 1375 Gyeongdong-ro, Andong-si, Gyeongsangbuk-do, 760-749, Korea

    Eun-Ser Lee

Authors
  1. Myung-Jae Lim
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  2. Eun-Ser Lee
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  3. Young-Man Kwon
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Editor information

Editors and Affiliations

  1. GVSA and University of Tasmania, Hobart, TAS, Australia

    Tai-hoon Kim

  2. Hosei University, 3-7-2, Kajino-cho, 184-8584, Koganei-shi, Tokyo, Japan

    Jianhua Ma

  3. National Chiao Tung University, Hsinchu, Taiwan, R.O.C.

    Wai-chi Fang

  4. Victoria University, 8001, Melbourne, VIC, Australia

    Yanchun Zhang

  5. University of Calabria, Via P. Bucci, 41C, I-87036, Rende, Cosenza, Italy

    Alfredo Cuzzocrea

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© 2012 Springer-Verlag Berlin Heidelberg

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Cite this paper

Lim, MJ., Lee, ES., Kwon, YM. (2012). Implementing Mobile Interface Based Voice Recognition System. In: Kim, Th., Ma, J., Fang, Wc., Zhang, Y., Cuzzocrea, A. (eds) Computer Applications for Database, Education, and Ubiquitous Computing. EL DTA 2012 2012. Communications in Computer and Information Science, vol 352. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-35603-2_23

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  • DOI: https://doi.org/10.1007/978-3-642-35603-2_23

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-35602-5

  • Online ISBN: 978-3-642-35603-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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