2005
DOI: 10.1007/11520153_6
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Speech Modelling Based on Acoustic-to-Articulatory Mapping

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“…It consists in identifying, for a chosen vocal tract model constituted by a set of overlapping tubes, a set of parameters so that the resonances of the model correspond to the formants observed in a given produced speech sound. As is has been observed in [69], distinct vocal tract shapes can produce the same set of formant frequencies and therefore, a given set of formant values cannot univocally identify the vocal tract shape that has generated them (inverse problem). There are infinite solutions for the inverse problem.…”
Section: Nonlinearities In Speech Productionmentioning
confidence: 96%
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“…It consists in identifying, for a chosen vocal tract model constituted by a set of overlapping tubes, a set of parameters so that the resonances of the model correspond to the formants observed in a given produced speech sound. As is has been observed in [69], distinct vocal tract shapes can produce the same set of formant frequencies and therefore, a given set of formant values cannot univocally identify the vocal tract shape that has generated them (inverse problem). There are infinite solutions for the inverse problem.…”
Section: Nonlinearities In Speech Productionmentioning
confidence: 96%
“…This is done taking three aspects into account: a) the accuracy of the vocal tract shapes estimate via formant-toarea mapping in comparison to the real vocal shapes; b) the underlying vocal tract models used; c) the numerical stability. Results shown that a good approximation is guaranteed only for speech sounds that are produced with a simple vocal tract configuration "single cavity, single constriction, convex tongue, as well as constrained in the laryngo-pharynx, and, possibly, at the lips" [69]; models based on a small number of conical tubelets with continuously varying cross area sections are preferred to exponential tubelets and cylindrical tubelets; the convergence to the desired format frequency values could be obtained with a precision greater than 1 Hz, even though the estimated vocal tract shapes could quantitatively and qualitatively differ from those built via the observed formant frequencies.…”
Section: Nonlinearities In Speech Productionmentioning
confidence: 98%
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