Skip to main content

A Model to Computational Speech Understanding

  • Conference paper
Computational Processing of the Portuguese Language (PROPOR 2006)

Abstract

We propose a speech comprehension software architecture to represent the flow of the natural processing of auditory sentences. The computational implementation applies wavelets transforms to speech signal codification and data prosodic extraction, and connectionist models to syntactic parsing and prosodic-semantic mapping.

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 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. Friederici, A.D.: Towards a neural basis of auditory sentence processing. Trends in Cognitive Sciences 6, 78–84 (2002)

    Article  Google Scholar 

  2. Friederici, A.D., Alter, K.: Lateralization of auditory language functions: A dynamic dual pathway model. Brain and Language 89, 267–276 (2004)

    Article  Google Scholar 

  3. Eckstein, K., Friederici, A.D.: Late interaction of syntactic and prosodic processes in sentence comprehension as revealed by erps. Cognitive Brain Research 25, 130–143 (2005)

    Article  Google Scholar 

  4. Mayberry III, M.R., Miikkulainen, R.: SARDSRN: a neural network shiftreduce parser. In: Proceedings of IJCAI 1999, pp. 820–825. Kaufmann, San Francisco (1999)

    Google Scholar 

  5. Kohonen, T.: Self-Organization and Associative Memory. Springer, Heidelberg (1984)

    Google Scholar 

  6. Mallat, S.G.: A theory for multiresolution signal decomposition: The wavelet representation. IEEE Trans. Pat. Anal. Mach. Intell. 11, 674–693 (1989)

    Article  Google Scholar 

  7. Kadambe, S., Boudreaux-Bartels, G.F.: A comparison of a wavelet transform event detection pitch detector with classical pitch detectors. In: Twenty-Fourth Asilomar Conference on Signals, Systems and Computers, vol. 2, pp. 1073–1078 (1990)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2006 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Müller, D.N., de Siqueira, M.L., Navaux, P.O.A. (2006). A Model to Computational Speech Understanding. In: Vieira, R., Quaresma, P., Nunes, M.d.G.V., Mamede, N.J., Oliveira, C., Dias, M.C. (eds) Computational Processing of the Portuguese Language. PROPOR 2006. Lecture Notes in Computer Science(), vol 3960. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11751984_25

Download citation

  • DOI: https://doi.org/10.1007/11751984_25

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-34045-4

  • Online ISBN: 978-3-540-34046-1

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics