A self-organizing neural network approach for the acquisition of phonetic categories (original) (raw)

Abstract

We present a neural network approach to the process of acquisition of phonetic categories in infants. In our approach we investigate the question to what extend the development of phonetic categories can be described by a self-organizing process. Simulation results show that with digitized speech as input, the network is able to learn representations of the vowel categories in the input set.

Preview

Unable to display preview. Download preview PDF.

Similar content being viewed by others

References

• Aslin, R. N. (1987). Visual and auditory development, in J. D. Osofsky (ed.), Handbook of Infant Development, J. Wiley & Sons, New York, pp. 5–97.
  Google Scholar
• Atkinson, J. & Braddick, O. J. (1981). Acuity, contrast sensitivity and accommodation in infancy, in R. N. Aslin, J. R. Alberts & M. R. Petersen (eds), The Development of Perception: Psychobiological Perspectives, vol. 2. The visual system, Academic Press, New York, pp. 245–277.
  Google Scholar
• Behnke, K. (1996). A self-organizing neural network approach for the acquisition of phonetic categories during the first year of life, Technical report, Max Planck Institute for Psycholinguistics.
  Google Scholar
• Bertoncini, J., Bijeljac-Babic, R., Blumstein, S. E. & Mehler, J. (1987). Discrimination in neonates of very short CVs, The Journal of the Acoustical Society of America 82(1): 31–37.
  Google Scholar
• Church, K. W. (1987). Phonological parsing and lexical retrieval, Cognition 25: 53–69.
  Google Scholar
• Hermansky, H. (1990). Perceptual linear predictive (PLP) analysis of speech, The Journal of the Acoustical Society of America 87(4): 1738–1752.
  Google Scholar
• Martinetz, T. & Schulten, K. (1994). Topology representing networks, Neural Networks 7: 507–522.
  Google Scholar
• Ritter, H. & Kohonen, T. (1989). Self-organizing semantic maps, Biological Cybernetics 61: 241–254.
  Google Scholar
• Sirosh, J. & Miikkulainen, R. (1994). Cooperative self-organization of afferent and lateral connections in cortical maps, Biological Cybernetics 71: 66–78.
  Google Scholar

Download references

Author information

Authors and Affiliations

1. Max Planck Institute for Psycholinguistics, Postbus 310, 6500, AH Nijmegen, The Netherlands
   Kay Behnke & Peter Wittenburg

Authors

1. Kay Behnke
2. Peter Wittenburg

Editor information

Christoph von der Malsburg Werner von Seelen Jan C. Vorbrüggen Bernhard Sendhoff

Rights and permissions

Copyright information

© 1996 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Behnke, K., Wittenburg, P. (1996). A self-organizing neural network approach for the acquisition of phonetic categories. In: von der Malsburg, C., von Seelen, W., Vorbrüggen, J.C., Sendhoff, B. (eds) Artificial Neural Networks — ICANN 96. ICANN 1996. Lecture Notes in Computer Science, vol 1112. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-61510-5\_148

Download citation

• .RIS
• .ENW
• .BIB
• DOI: https://doi.org/10.1007/3-540-61510-5\_148
• Published: 09 June 2005
• Publisher Name: Springer, Berlin, Heidelberg
• Print ISBN: 978-3-540-61510-1
• Online ISBN: 978-3-540-68684-2
• eBook Packages: Springer Book Archive

Keywords

These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Publish with us