Skip to main content
SpringerLink
Log in

An Application of Extended Simulated Annealing Algorithm to Generate the Learning Data Set for Speech Recognition System

  • Conference paper
  • First Online:
New Frontiers in Artificial Intelligence (JSAI 2001)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 2253))

Included in the following conference series:

  • 500 Accesses

Abstract

In this paper, we suggest a method of data extraction for constructing the speech recognition system. The proposed algorithm is based on the Extended Simulated Annealing(ESA) algorithm. We have used Korean text data, drawn randomly from the internet. The Korean LDS built by the proposed algorithm has the equiprobable distribution among Korean alphabets.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. H. Crowder, and M.W. Padberg, “Solving Large-Scale Symmetric Travelling Salesman Problem to Optimality”, Management Soci., 26, 495–509, 1980.

    MATH  MathSciNet  Google Scholar 

  2. T.L. Hill “Statistical Thermodynamics”, addison-Wesley Publishing Company, 1960

    Google Scholar 

  3. B. Widom, “Some topics in the theory of fluids”, & J. of Chem. Phys. 39, 2808–2812, 1963.

    Article  Google Scholar 

  4. D.J. Adams, “Grand canonical ensemble Monte Carlo for a leonard-Jones fluid”, & Mol. Phys. 29, 307–311, 1976.

    Article  Google Scholar 

  5. N.R. Draper, H. Smith, “Applied Regression Analysis” john Wiely & Sons, Inc., 90–92, 1981.

    Google Scholar 

  6. N. Metropolis, A. Rosenblush, M. Rosenbluth, A. Teller and E. Teller, “Equation of State Calculation by Fast Computing Machines”, & J. of Chem. Physics, 21, 1087–1092, 1953.

    Article  Google Scholar 

  7. S. Geman, D. Geman, “Stochastic realization, Gibbs distributions and the bayesian restoration of images”, IEEE Trans., PAMI-6, 721–741, 1984.

    Google Scholar 

  8. S. Kirkpatrick, C.D. Gellatt Jr. and M.P Vecchi, “Optimization by Simulated Annealing”, Science, Vol220,671–680,1983.

    Article  MathSciNet  Google Scholar 

  9. D.S. Johnson, C.R. Aragon, L.A. Mcgeoch, C. Schevon, “Optimization by Simulated Annealing: an Experimental Evaluation”, Workshop on Statistical Physics in Engineering and Biology, Yorktown Heights, April 1984.

    Google Scholar 

  10. Wdlee, Chsong “Extended Simulated Annealing Algorithm Based on Grand Canonical Ensemble”, ICONIP, Dunedin, NewZealand,1997, 11.

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Dept. of Computer Science, Chungnam Nat’l Univ., 305-764, Daejeon, Korea

    Chi-Hwa Song & Won Don Lee

Authors
  1. Chi-Hwa Song
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Won Don Lee
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. Graduate School of Business Science, The University of Tsukuba, Tokyo

    Takao Terano  & Yukio Ohsawa  & 

  2. School of Engineering, The University of Tokyo, Tokyo

    Toyoaki Nishida

  3. Dept.of Computer Science, National Defense Academy, Japan

    Akira Namatame

  4. School of Medicines, Shimane Medical University, Japan

    Syusaku Tsumoto

  5. The Institute of Scientific and Industrial Research, Osaka University, Osaka

    Takashi Washio

Rights and permissions

Reprints and permissions

Copyright information

© 2001 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Song, CH., Lee, W.D. (2001). An Application of Extended Simulated Annealing Algorithm to Generate the Learning Data Set for Speech Recognition System. In: Terano, T., Ohsawa, Y., Nishida, T., Namatame, A., Tsumoto, S., Washio, T. (eds) New Frontiers in Artificial Intelligence. JSAI 2001. Lecture Notes in Computer Science(), vol 2253. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45548-5_36

Download citation

  • DOI: https://doi.org/10.1007/3-540-45548-5_36

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-43070-4

  • Online ISBN: 978-3-540-45548-6

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics

Search

Navigation