Fuzzy information transmission analysis for continuous speech features

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dc.contributor.author Oosthuizen, D.J.J. (Dirk Johannes Jacobus)
dc.contributor.author Hanekom, J.J. (Johannes Jurgens)
dc.date.accessioned 2015-08-03T09:09:25Z
dc.date.available 2015-08-03T09:09:25Z
dc.date.issued 2015-04
dc.description.abstract Feature information transmission analysis (FITA) estimates information transmitted by an acoustic feature by assigning tokens to categories according to the feature under investigation and comparing within-category to between-category confusions. FITA was initially developed for categorical features (e.g., voicing) for which the category assignments arise from the feature definition. When used with continuous features (e.g., formants), it may happen that pairs of tokens in different categories are more similar than pairs of tokens in the same category. The estimated transmitted information may be sensitive to category boundary location and the selected number of categories. This paper proposes a fuzzy approach to FITA that provides a smoother transition between categories and compares its sensitivity to grouping parameters with that of the traditional approach. The fuzzy FITA was found to be sufficiently robust to boundary location to allow automation of category boundary selection. Traditional and fuzzy FITA were found to be sensitive to the number of categories. This is inherent to the mechanism of isolating a feature by dividing tokens into categories, so that transmitted information values calculated using different numbers of categories should not be compared. Four categories are recommended for continuous features when twelve tokens are used. en_ZA
dc.description.librarian am2015 en_ZA
dc.description.uri http://scitation.aip.org/content/asa/journal/jasa en_ZA
dc.identifier.citation Oosthuizen, DJJ & Hanekom, JJ 2015, 'Fuzzy information transmission analysis for continuous speech features', Journal of the Acoustical Society of America, vol. 137, no. 4, pp. 1983-1994. en_ZA
dc.identifier.issn 0001-4966 (print)
dc.identifier.issn 1520-8524 (online)
dc.identifier.other 10.1121/1.4916198
dc.identifier.uri http://hdl.handle.net/2263/49227
dc.language.iso en en_ZA
dc.publisher Acoustical Society of America en_ZA
dc.rights © 2015 Acoustical Society of America en_ZA
dc.subject Feature information transmission analysis (FITA) en_ZA
dc.subject Investigation en_ZA
dc.subject Feature en_ZA
dc.subject Categories en_ZA
dc.title Fuzzy information transmission analysis for continuous speech features en_ZA
dc.type Article en_ZA


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