Skip to main content

Computational Maps for Articulatory Speech Synthesis

  • Conference paper
Neural Nets WIRN VIETRI-97

Part of the book series: Perspectives in Neural Computing ((PERSPECT.NEURAL))

  • 106 Accesses

Abstract

A computational model for bi-directional coordinate transformations is demonstrated, which is based on two topologically organized computational maps and exploits their intra- and cross-connections for generating smooth trajectories. The model has been applied to speech motor control in order to study the linkage between vocal tract geometry and sound. It can simultaneously fit experimental trajectories in the formant and articulator spaces, respectively, and it is shown that in the generation of continuous sequences of vowels, the computed trajectories of the vocal tract can account for redundancy resolution, and accommodate different speaking rates and levels of stress.

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. P. Badin, B. Gabioud, D. Beautemps, T. Lallouache, G. Bailly, S. Maeda, J. P. Zerling, and G. Brock. Cineradiography of VCV sequences: articulatory-acoustic data for a speech production model. In International Conference on Acoustics, pages 349–352, Trondheim, Norway, 1995.

    Google Scholar 

  2. J. H. Conway and N. Sloane. Sphere packings, lattices and groups. Springer-Verlag, New York, NY, 2 edition, 1993.

    Google Scholar 

  3. F. Frisone, F. Firenze, P. Morasso, and L. Ricciardiello. Application of Topology Representing Networks to the estimation of the intrinsic dimensionality of data. In International Conference on Artificial Neural Networks, Paris, France, 1995.

    Google Scholar 

  4. A. Löfqvist. Speech as audible gestures. In W. J. Hardcastle and A. Marchal, editors, Speech Production and Speech Modelling, NATO ASI Series, pages 289–322. Kluwer, Dordrecht, NL, 1990.

    Google Scholar 

  5. T. Martinetz and K. Schulten. Topology Representing Networks. Neural Networks, 7 (3): 507–522, 1994.

    Article  Google Scholar 

  6. P. Morasso and V. Sanguineti, editors. Self-Organization, Computational Maps and Motor Control. Elsevier Science Publ., 1997.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 1998 Springer-Verlag London Limited

About this paper

Cite this paper

Sanguineti, V., Morasso, P.G. (1998). Computational Maps for Articulatory Speech Synthesis. In: Marinaro, M., Tagliaferri, R. (eds) Neural Nets WIRN VIETRI-97. Perspectives in Neural Computing. Springer, London. https://doi.org/10.1007/978-1-4471-1520-5_18

Download citation

  • DOI: https://doi.org/10.1007/978-1-4471-1520-5_18

  • Publisher Name: Springer, London

  • Print ISBN: 978-1-4471-1522-9

  • Online ISBN: 978-1-4471-1520-5

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics