We consider the modelling of parameterized processes, where the goal is to model the process for new parameter value combinations. We compare the classical regression approach to a modular approach based on regression in the model space: First, for each process parametrization a model is learned. Second, a mapping from process parameters to model parameters is learned. We evaluate both approach...

With synthetic stimuli copied from natural vowels and including up to five formants, we investigated some transformations of the perceived identity of vowels by means of modifications of formant amplitude levels. Synthetic stimuli were generated by means of a new method of copy synthesis. With stimuli copied from /u/ we found that, despite the presence of F2, it is possible to transform the tim...

Most of the common techniques for estimating conditional probability densities are inappropriate for applications involving periodic variables. In this paper we introduce three novel techniques for tackling such problems, and investigate their performance using synthetic data. We then apply these techniques to the problem of extracting the distribution of wind vector directions from radar scatt...

A psycho-acoustical experiment was conducted using synthetic vowel-like stimuli to examine effect of formant amplitude in vowel perception. Nine combinations of formant frequencies were examined. For each combination, relative amplitude of the third to the second formants was modified in seven degrees. In eight of the nine combinations, perceived vowels were changed according to the formant amp...