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VOWEL QUALITY ASSESSMENT BASED ON ANALYSIS OF DISTINCTIVE FEATURES

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1994

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Abstract

This paper presents a novel method for vowel quality assess-ment which is based on the analysis of distinctive features. A sub-set of the features proposed by Jakobson, Fant and Halle are used. The acoustic features associated with each selected feature are encoded in the weights of a multilayer perceptron. The processing of an individual vowel sound by such feature-detecting perceptrons yields an estimate of that vowel's position in a distinctive feature space. The relative positions of one speaker's monophthongal vowel set within both a two-dimensional and a three-dimensional distinctive feature space are compared with vowel spaces based on ar-ticulatory considerations. The extent to which articulatory descriptions of acoustic vowels can be estimated using this method is discussed.

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Keywords

Articulatory features, Artificial neural networks, Distinctive features, Vowel quality assessment

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https://dspace-test.anu.edu.au/handle/1885/733746588

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DevOps Pure Testing

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Paper

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