Skip to main content

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

Abstract

The object of this review and position paper is to draw a parallel between the field of high-performance speech recognition systems on one side and the field of computer systems (in particular computer systems for Artificial Intelligence applications) on the other. This paper gives a characterization of the computational requirements of speech recognition systems, and describes and exemplifies the classes of machines that could be useful in speeding up speech recognition systems.

This research was sponsored by the Defense Advanced Research Projects Agency (DOD), ARPA Order No. 3597, monitored by the Air Force Avionics Laboratory Under Contract F33615-81-K-1539.

The views and conclusions contained in this document are those of the author and should not be interpreted as representing the official policies, either expressed or implied, of the Defense Advanced Research Projects Agency or the US Government.

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. Speech Group, Summary of Results of the Five-year Research Effort at Carnegie-Mellon University, Computer Science Department, Carnegie-Mellon University, 1977.

    Google Scholar 

  2. R. A. Iannucci Arvind, “A critique of multiprocessing von Neumann style,” 10th Annual International Symposium on Computer Architecture, 1983.

    Google Scholar 

  3. T. Anantharaman, M. Annaratone, R. Bisiani, “A family of custom VLSI circuits for speech recognition,” IEEE International Conference on Acoustics, Speech and Signal Processing, March 1984.

    Google Scholar 

  4. R. Bisiani, H. Mauersberg and R. Reddy, “Task-oriented architectures,” Proceedings of the IEEE, July 1983.

    Google Scholar 

  5. H. Boley, “A preliminary survey of artificial intelligence machines,” SIGART, 72, July 1980.

    Google Scholar 

  6. R. A. Kavaler, T. G. Noll, M. Lowy, H. Murveit and R. W. Brodersen, “A dynamic time warp IC for a one thousand recognition system,” ICASSP ’84, IEEE, San Diego, March 1984.

    Google Scholar 

  7. R. D. Fellman and R. W. Brodersen, “A switched capacitor adaptive lattice filter,” Journal of Solid State Circuits, February 1983.

    Google Scholar 

  8. R. A. Cole, R. M. Stern, M. S. Phillips, S. M. Brill, P. Specker, and A. P. Pilant, “Feature-based speaker-independent recognition of English letters,” ICASSP ’83 Proceedings, IEEE, 1983, pp. 731–734.

    Google Scholar 

  9. W. D. Hillis, The Connection Machine, MIT, 1981.

    Google Scholar 

  10. R. De Mori, R. Giordana, A. Laface, P. Saitta, “Parallel algorithms for syllable recognition in continuous speech,” to be published.

    Google Scholar 

  11. L. D. Erman, F. Hayes-Roth, V. R. Lesser, D. R. Reddy, “The Hearsay-II speech-understanding system: integrating knowledge to resolve uncertainty,” ACM Computing Surveys, 12, 2, June 1980.

    Google Scholar 

  12. S. E. Fahlman, NETL: A system for representing and using real world knowledge, Ph. D. Th., MIT, 1979.

    Google Scholar 

  13. P. Frison and P. Quinton, “A VLSI parallel machine for speech recognition,” ICASP ’84, IEEE, San Diego, March 1984.

    Google Scholar 

  14. R. G. Goodman, Language design for man-machine communication, Ph. D. Th., Carnegie-Mellon University, 1976.

    Google Scholar 

  15. R. Greenblatt, T. Knight and J. Holloway, A LISP Machine, Fifth Workshop on Architectures for Non-numeric Processing, Asilomar, March 1980.

    Google Scholar 

  16. A. Gupta and C. L. Forgy, Measurements on Production Systems, Carnegie-Mellon University, 1983.

    Google Scholar 

  17. S. E. Fahlman, G. E. Hinton and T. J. Sejnowski, “Massively parallel architectures for AI: NETL, THISTLE and Boltzmann machines,” AAAI-83, AAAI, Washington, DC, 1983.

    Google Scholar 

  18. L. R. Bahl, Das Das, P. V. De Souza, F. Jelinek, S. Katz, R. L. Mercer, M. A. Picheny, “Some experiments with large-vocabulary isolated word sentence recognition,” ICASSP ’84, IEEE, San Diego, March 1984.

    Google Scholar 

  19. J. N. Holmes, “The JSRU channel vocoder,” IEEE Proceedings 127, February 1980.

    Google Scholar 

  20. G. E. Kopec, “The integrated signal processing system ISP,” ICASSP ’84, IEEE, San Diego, March 1984.

    Google Scholar 

  21. B. T. Lowerre, The Harpy Speech Recognition System, Ph. D. Th., Computer Science Department, Carnegie-Mellon University, 1976.

    Google Scholar 

  22. J. Makhoul, “Linear prediction: A tutorial review,” Proc. IEEE 63, April 1975.

    Google Scholar 

  23. K. Oflazer, Partitioning in Parallel Processing of Production Systems, Computer Science Dept., Carnegie-Mellon University, Thesis Proposal 1984.

    Google Scholar 

  24. P. N. Oleinick, The Implementation and Evaluation of Parallel Algorithms on C.mmp. Ph. D. Th., Carnegie-Mellon University, Computer Science Department, 1978.

    Google Scholar 

  25. L. R. Rabiner, A. E. Rosenberg, S. E. Levinson, “Considerations in dynamic time-warping algorithms for discrete word recognition,” IEEE Trans. ASSP ASSP-26, 6, December 1978.

    Google Scholar 

  26. D. W. Shipman, “SpireX: statistical analysis in the spire acoustic-phonetic workstation,” ICASSP ’83, IEEE, March 1983.

    Google Scholar 

  27. S. Stolfo, D. Miranker and D. F. Shaw, “Architecture and applications of DADO: A large scale parallel computer for artificial intelligence,” International Joint Conference on Artificial Intelligence, 1983.

    Google Scholar 

  28. R. J. Swan, The Switching Structure and Addressing Architecture of an Extensible Multiprocessor: Cm*, Ph. D, Th., Carnegie-Mellon University, Computer Science Department, August 1978.

    Google Scholar 

  29. A. Gottlieb, C. P. Grishman, K. P. Kruskal, L. McAuliffe, L. Rudolph, “The NYU ultracomputer — designing an MIMD shared memory parallel computer,” IEEE Trans, on Computers C-32, 2, February 1983.

    Google Scholar 

  30. J. A. Feldman, F. M. Gaverick, F. M. Rhodes and J. R. Mann, “A wafer scale integration systolic processor for connected word recognition,” ICASSP ’84, IEEE, San Diego, March 1984.

    Google Scholar 

  31. H. T. Kung, “Systolic algorithms for the CMU warp processor,” Proceedings of the Seventh International Conference on Pattern Recognition, Quebec, Canada, July 1984.

    Google Scholar 

  32. D. H. D. Warren, “A view of the Fifth Generation and its impact,” The AI Magazine, Fall 82.

    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

Bisiani, R. (1985). Computer Systems for High-Performance Speech 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_4

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-82447-0_4

  • 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