A neural network approach to the dimensionality of the perceptual vowel space
Keywords:Computer simulation, Linguistics, Mathematical models, Neural networks, Speech analysis, Speech coding, Transfer functions, Two dimensional, Dummy-variable coding, Monophthongs, Perceptual vowel space
AbstractA 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.
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