Skip to main content
SpringerLink
Log in

Research on Speech Recognition at NPL

  • Chapter
The Impact of Processing Techniques on Communications

Part of the book series: NATO ASI Series ((NSSE,volume 91))

  • 197 Accesses

Abstract

Speech is man’s primary means of communication. Direct input of speech into a machine is therefore an important element in the range of man-machine interfaces. Advantages include the possibility of use by untrained people, the potential speed of interaction (again especially with untrained people) and the ease with which a person can talk and listen while simultaneously carrying out some other task.

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. Bahl, L.R, Jelinek, F and Mercer, R.L. A Maximum Likelihood approach to Continuous Speech Recognition. IEEE Trans. PAMI-5 (1983), 179–190.

    Google Scholar 

  2. Pay, B.E. and Evans, C.R. An approach to the Automatic Recognition of Speech. Int. J. of Man-Machine Studies, 14 (1981) 13–27.

    Article  Google Scholar 

  3. Rengger, R.E. and Manning, D.R. A Hardware Preprocessor for use in Speech Recognition: Speech Input Device SID3. NPL Report no. DITC 22 /83, May 1983.

    Google Scholar 

  4. Schofield, D. and Manning, D.R. A theoretical model for the Speech Input Device SID3, Part 1. Filters. NPL Report no. DITC 20/83, April 1983. Part 2. Correlators. NPL Report no. DITC 21/83, April 1983.

    Google Scholar 

  5. Peterson, G.H. and Barney, H.L. Control methods used in a study of the vowels. J. Acoust. Soc. America 24 (1952), 175–184.

    Article  Google Scholar 

  6. Yardley, J.P. WISPA: A system for Word Identification in Speech by Phonetic Analysis. PhD Thesis, University of Essex, UK, 1981.

    Google Scholar 

  7. Sakoe, H. Two-level DP matching - a Dynamic Programmingbased pattern matching algorithm for connected-word recognition. IEEE Trans ASSP-27 (1979) 588–595.

    Google Scholar 

  8. Bridle, J.S., Brown, M.D, and Chamberlain, R.M. An algorithm for Connected Word’ Recognition. Proc.IEEE Conf. ICASSP 82, 2 (1982) 899–902.

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. National Physical Laboratory, Teddington, Middlesex, UK

    D Schofield

Authors
  1. D Schofield
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. Marconi Research Centre, GEC Research Laboratories, Great Baddow, Essex, UK

    J. K. Skwirzynski

Rights and permissions

Reprints and permissions

Copyright information

© 1985 Martinus Nijhoff Publishers, Dordrecht

About this chapter

Cite this chapter

Schofield, D. (1985). Research on Speech Recognition at NPL. In: Skwirzynski, J.K. (eds) The Impact of Processing Techniques on Communications. NATO ASI Series, vol 91. Springer, Dordrecht. https://doi.org/10.1007/978-94-009-5113-6_30

Download citation

  • DOI: https://doi.org/10.1007/978-94-009-5113-6_30

  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-94-010-8760-5

  • Online ISBN: 978-94-009-5113-6

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics

Search

Navigation