Skip to main content

Dynamic Time Warping Algorithms for Isolated and Connected Word Recognition

  • Conference paper
New Systems and Architectures for Automatic Speech Recognition and Synthesis

Part of the book series: NATO ASI Series ((NATO ASI F,volume 16))

Abstract

In this paper we present a new formulation of the dynamic programming recursive relations both for word and connected word recognition that permits relaxation of boundary conditions imposed on the warping paths, while preserving the optimal character of the dynamic time warping algorithms.

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

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
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. L.R. Rabiner, A.E. Rosenberg, S.E. Levinson, “Considerations in Dynamic Time Warping Algorithms for Discrete Word Recognition”, IEEE Trans. Acoust., Speech, Signal Processing, vol. ASSP-26, N° 6, pp. 575–582, December 1978.

    Article  Google Scholar 

  2. J.P. Haton, “Contribution à I′Analyse et à la reconnaissance Automatique de la Parole”, Thèse d’Etat, Universitè de Nancy I, January 1974.

    Google Scholar 

  3. S.K. Das, “Some Experiments in Discrete Utterance Recognition”, Proc. ICASSP, Denver, Co, 1980, pp. 178–181.

    Google Scholar 

  4. A. Waibel, B. Yegnanarayana, “Comparative Study of Nonlinear Time Warping Techniques in Isolated Word Speech Recognition”, Carnegie-Mellon University, Computer Science Department, 1982.

    Google Scholar 

  5. C. Myers, L.R. Rabiner, A.E. Rosenberg, “Performance Tradeoffs in Dynamic Time Warping Algorithms for Isolated Word Recognition”, IEEE Trans. Acoust. Speech, Signal Processing, vol. ASSP-6, N° 6, pp. 623–635, December 1980.

    Article  Google Scholar 

  6. H. Sakoe, S. Chiba, “A Dynamic Programming Approach to Continuous Speech Recognition”, In Proc. Int. Congr. Acoust., Budapest, Hungary, 1971.

    Google Scholar 

  7. H. Sakoe, S. Chiba, “Dynamic Programming Algorithm Optimization for Spoken Word Recognition”, IEEE Trans. Acoust., Speech, Signal Processing, vol. ASSP-26, pp. 43–49, February 1978.

    Article  Google Scholar 

  8. F. Itakura, “Minimum Prediction Residual Principle Applied to Speech Recognition”, IEEE Trans. Acoust., Speech, Signal Processing, vol. ASSP-23, pp. 67–72, February 1975.

    Article  Google Scholar 

  9. J R. Bellman, “Dynamic Programming”, Princeton, N.F. : Princeton, Univ. Press, 1957.

    MATH  Google Scholar 

  10. J. di Martino, J.P. Haton, M.C. Haton, “Evaluation d′Algorithmes en Reconnaissance Automatique de la Parole”, In Proc. Int. Congr. Acoust., Paris, France, 1983.

    Google Scholar 

  11. J. di Martino, “Contribution è la Reconnaissance Globale de la Parole : Mots Isolès et Mots Enchaînès”, Dr. Ing. thesis, Université de Nancy I, April 1984.

    Google Scholar 

  12. H. Sakoe, “Two-Level DP-Matching-A Dynamic Programming Based Pattern Matching Algorithm for Connected Word Recognition”, IEEE Trans. Acoust., Speech, Signal Processing, vol. ASSP-27, pp. 588–595, December 1979.

    Article  Google Scholar 

  13. C.S. Myers, L.R. Rabiner, “A Level Building Dynamic Time Warping Algorithm for Connected Word Recognition”, IEEE Trans. Acoust., Speech, Signal Processing, vol. ASSP-29, pp. 284–297, April 1981.

    Article  Google Scholar 

  14. J.S. Bridle, M.D. Brown, R.M. Chamberlain, “An Algorithm for Connected Word Recognition”, in Proc. 1982, IEEE International Conference on Acoustics, Speech and Signal Processing, Paris, pp. 899–902, May 1982.

    Google Scholar 

  15. S. Nakagawa, “A Connected Spoken Word Recognition Method by 0(n) Dynamic Programming Pattern Matching Algorithm”, In Proc. 1983, IEEE International Conference on Acoustics, Speech and Signal Processing, Boston, pp. 226–299, April 1983.

    Google Scholar 

  16. H. Ney, “The Use of a One-Stage Dynamic Programming Algorithm for Connected Word Recognition”, IEEE Trans. Acoust., Speech, Signal Processing, vol. ASSP-32, pp. 263–271, April 1984.

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 1985 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

di Martino, J. (1985). Dynamic Time Warping Algorithms for Isolated and Connected Word Recognition. In: De Mori, R., Suen, C.Y. (eds) New Systems and Architectures for Automatic Speech Recognition and Synthesis. NATO ASI Series, vol 16. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-82447-0_15

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-82447-0_15

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-82449-4

  • Online ISBN: 978-3-642-82447-0

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics