Adaptive computation of articulatory parameters from the speech signal

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Abstract
An unconstrained optimizaiton technique is used to find the values of parameters, of a combination of an articulatory and a vocal tract model, that minimize the difference between model spectra and natural speech spectra. The articulatory model is anatomically realistic and the vocal tract model in a lossy Webster equation for which a method of solution is given. For English vowels in the steady-state, anatomically reasonable articulatory configurations whose corresponding spectra match those of human speech to within 2 dB were computed in fewer than 10 iterations. Results are also given which demonstrate a limited ability of the system to track the articulatory dynamics of voiced speech.

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