SpringerLink
Log in

Acoustic-Phonetic Decoding of Speech

Statistical Modeling for Phonetic Recognition

  • Conference paper
Recent Advances in Speech Understanding and Dialog Systems

Part of the book series: NATO ASI Series ((NATO ASI F,volume 46))

Abstract

Several methods for acoustic-phonetic decoding are reviewed. Emphasis is placed on the need for mathematical methods for speech recognition. Several examples of statistical methods are described. The author presents several techniques for incorporating “speech knowledge” into these statistical models, and provides a simple formalism for using multiple knowledge sources in a coherent speech recognition system.

While this paper was organized, written, and presented by the first author, several paragraphs of this paper are taken directly from several conference papers written by various combinations of all the authors.

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

Access this chapter

Log in via an institution

Subscribe and save

Springer+ Basic
EUR 32.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or Ebook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
GBP 19.95
Price includes VAT (United Kingdom)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
GBP 71.50
Price includes VAT (United Kingdom)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
GBP 89.99
Price includes VAT (United Kingdom)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free ship** 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.

Similar content being viewed by others

References

  1. L.R. Bahl and F. Jelinek. Decoding for Channels with Insertions, Deletions, and Substitutions with Applications to Speech Recognition. IEEE Trans. Inform. Theory IT-21(4):404–411, July, 1975.

    Article  MATH  Google Scholar 

  2. L.R. Bahl, F. Jelinek, and R.L. Mercer. A Maximum Likelihood Approach to Continuous Speech Recognition. IEEE Trans. Pattern Analysis and Machine Intelligence PAMI-5(2): 179–190, March, 1983.

    Article  Google Scholar 

  3. L.R. Bahl, P.F. Brown, P.V. deSouza, R. L. Mercer, and M.A. Picheny. A Method for the Construction of Acoustic Markov Models for Words. In IEEE Int. Conf. Acoust., Speech, Signal Processing. New York, NY, April, 1988.

    Google Scholar 

  4. J.K. Baker. Stochastic Modeling for Automatic Speech Understanding. In Raj Reddy (editor), Speech Recognition, chapter Part Five:systems Organization and Analysis Systems, pages 521–542. Academic Press, New York, 1975.

    Google Scholar 

  5. L.E. Baum and J.A. Eagon. An Inequality with Applications to Statistical Estimation for Probabilistic Functions of Markov Processes and to a Model of Ecology. Amer. Math Soc. Bulletin 73,:360–362, 1967.

    Article  MathSciNet  MATH  Google Scholar 

  6. J.S. Bridle and M.D. Brown. Connected Word Recognition Using Whole Word Templates. In Proc. of the Inst, of Acoustics. Autumn, 1979.

    Google Scholar 

  7. /CHO 86/ Y.L. Chow, R.M. Schwartz, S. Roucos, O.A. Kimball, P.J. Price, G.F. Kubala, M.O. Dunham, M.A. Krasner, and J. Makhoul. The Role of Word-Dependent Coarticulatory Effects in a Phoneme-Based Speech Recognition System. In IEEE Int. Conf. Acoust., Speech, Signal Processing, pages 1593–1596. Tokyo, Japan, April, 1986. Paper No. 30.9.

    Google Scholar 

  8. Y.L. Chow, M.O. Dunham, O.A. Kimball, M.A. Krasner, G.F. Kubala, J. Makhoul, P.J. Price, S. Roucos, and R.M. Schwartz. BYBLOS: The BBN Continuous Soeech Recognition System. In IEEE Int. Conf. Acoust., Speech, Signú Processing, pages 89–92. Dallas, TX, April, 1987. Paper No. 3.7.

    Google Scholar 

  9. M W Feng, F. Kubala, R.M. Schwartz, and J. Makhoul. Improved Speaker Adaptation using Text-Dependent Spectral Map**s. In IEEE Int. Conf. Acoust., Speech, Signal Processing. New York, NY, April, 1988.

    Google Scholar 

  10. F. Kubala, Y. Chow, A. Derr, M. Feng, O. Kimball, J. Makhoul, P. Price, J. Rohlicek, S. Roucos, R. Schwartz, and J. Vandegrift. Continuous Speech Recognition Results of the BYBLOS System on the DARPA 1000-Word Resource Management Database. In IEEE Int. Conf. Acoust., Speech, Signal Processing. New York, NY, April, 1988.

    Google Scholar 

  11. K.F. Lee. Speaker-Independent Continuous Speech Recognition Using Hidden Markov Models. In NATOAdvancedStudylnstitute. Bad Windheim, FR Germany, July, 1987. elsewhere in this volume.

    Google Scholar 

  12. S.E. Levinson, L.R. Rabiner, and M.M. Sondhi. Speaker Independent Isolated Digit Recognition Using Hidden Markov Models. In IEEE Int. Conf. Acoust., Speech, Signal Processing, pages 1049–1052. Boston, MA, April, 1983.

    Google Scholar 

  13. H. Ney. Dynamic Programming Speech Recognition Using a Context Free Grammar. In IEEE Int. Conf. Acoust., Speech, Signal Processing, pages 69–72. Dallas, TX, April, 1987. Paper No. 3.2.

    Google Scholar 

  14. /PAE 87/ A. Paeseler. Modification of Earley’s Algorithm for Speech Understanding. In NATOAdvancedStudy Institute. Bad Windheim, FR Germany, July, 1987. elsewhere in this volume.

    Google Scholar 

  15. P. Price, W. Fisher, J. Bernstein, and D. Pallett. The DARPA 1000-Word Resource Management Database for Continuous Speech Recognition. In IEEE Int. Conf. Acoust., Speech, Signal Processing. New York, NY, April, 1988.

    Google Scholar 

  16. L.R. Rabiner. Mathematical Foundations and Applications of HMM. In NATOAdvancedStudy Institute. Bad Windheim, FR Germany, July, 1987. Invited paper. Elsewhere in this volume.

    Google Scholar 

  17. S. Roucos, R. Schwartz, and J. Makhoul. Segment Quantization for Very-Low-Rate Speech Coding. In IEEE Int. Conf. Acoust., Speech, Signal Processing, pages 1565–1569. Paris, France, May, 1982.

    Google Scholar 

  18. S. Roucos, R. Schwartz, and J. Makhoul. A Segment Vocoder at 150 B/S. In IEEE Int. Conf. Acoust., Speech, Signal Processing, pages 61–64. Boston, MA, April, 1983.

    Google Scholar 

  19. S. Roucos and M.O. Dunham. A Stochastic Segment Model for Phoneme-Based Continuous Speech Recognition. In IEEE Int. Conf. Acoust., Speech, Signal Processing, pages 73–89. Dallas, TX, April, 1987. Paper No. 3.3.

    Google Scholar 

  20. R.M. Schwartz, Y. Chow, S. Roucos, M. Krasner, and J. Makhoul. Improved Hidden Markov Modeling of Phonemes for Continuous Speech Recognition. In IEEE Int. Conf. Acoust., Speech, Signal Processing, pages 35.6.1–35.o.4. San Diego, CA, March, 1984.

    Google Scholar 

  21. /SCH 85/ R.M. Schwartz, Y.L. Chow, O.A. Kimball, S. Roucos, M. Krasner, and J. Makhoul. Context-Dependent Modeling for Acoustic-Phonetic Recognition of Continuous Speech. In IEEE Int. Conf. Acoust., Speech, Signal Processing, pages 1205–1208. Tampa, FL, March, 1985. Paper No. 31.3.

    Google Scholar 

  22. R.M. Schwartz, Y.L. Chow, G.F. Kubala. Rapid Speaker Adaptation using a Probabilistic Spectral Map**. In IEEE Int. Conf. Acoust., Speech, Signal Processing, pages 633–636. Dallas, TX, Apnf, 1987. Paper No. 15.3.

    Google Scholar 

  23. T.K. Vintsiuk. Generative Grammars and Dynamic Programming in Speech Recognition with Learning. In IEEE Int. Conf. Acoust., Speech, Signal Processing, pages 446–449. Philadelphia, PA, April, 1976.

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. BBN Laboratories Inc., 10 Moulton Street, 02238, Cambridge, MA, USA

    Richard M. Schwartz, Y. Chow, M. Dunham, O. Kimball, M. Krasner, F. Kubala, J. Makhoul, P. Price & S. Roucos

Authors
  1. Richard M. Schwartz
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Y. Chow
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. M. Dunham
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. O. Kimball
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. M. Krasner
    View author publications

    You can also search for this author in PubMed Google Scholar

  6. F. Kubala
    View author publications

    You can also search for this author in PubMed Google Scholar

  7. J. Makhoul
    View author publications

    You can also search for this author in PubMed Google Scholar

  8. P. Price
    View author publications

    You can also search for this author in PubMed Google Scholar

  9. S. Roucos
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. Universität Erlangen-Nürnberg, Martensstr. 3, D-8520, Erlangen, Germany

    H. Niemann  & G. Sagerer  & 

  2. ZT ZTI SYS 5, Siemens AG, Otto-Hahn-Ring 6, D-8000, München 83, Germany

    M. Lang

Rights and permissions

Reprints and permissions

Copyright information

© 1988 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Schwartz, R.M. et al. (1988). Acoustic-Phonetic Decoding of Speech. In: Niemann, H., Lang, M., Sagerer, G. (eds) Recent Advances in Speech Understanding and Dialog Systems. NATO ASI Series, vol 46. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-83476-9_2

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-83476-9_2

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-83478-3

  • Online ISBN: 978-3-642-83476-9

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics

Search

Navigation