A neural network approach to the dimensionality of the perceptual vowel space


  • Terrance M. Nearey Dept. of Linguistics, University of Alberta, Edmonton, Alta. T6G 2E7, Canada
  • Michael Kiefte School of Human Comm. Disorders, Dalhousie University, Halifax, NS B3H 1R2, Canada


Computer simulation, Linguistics, Mathematical models, Neural networks, Speech analysis, Speech coding, Transfer functions, Two dimensional, Dummy-variable coding, Monophthongs, Perceptual vowel space


A novel method to examine the degree to which a two- or three-dimensional space can accurately represent listeners' perception of a large three-formant vowel continuum was examined. As such, the results showed that no two-dimensional representation adequately accounts for listeners' behavior. The key to the analysis was a neural network architecture that will be capable of implementing an optimal, non-parametric, two-dimensional representation of the stimulus space.




How to Cite

Nearey TM, Kiefte M. A neural network approach to the dimensionality of the perceptual vowel space. Canadian Acoustics [Internet]. 2003 Sep. 1 [cited 2021 Dec. 7];31(3):16-7. Available from: https://jcaa.caa-aca.ca/index.php/jcaa/article/view/1527



Proceedings of the Acoustics Week in Canada

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