In this study a perception experiment was carried out to examine the perceived similarity of intonation contours. Amongst other results we found, that the subjects are capable to produce consistent similarity judgements.
On the basis of this data we studied the influence of several physical distance measures on the human similarity judgements by grouping these measures to principal components and by comparing the weights of these components in a linear regression model predicting human perception. Non-correlation based distance measures for f0 contours received the highest relative weight.
Finally, we developed applicable linear regression and neural feed forward network models predicting similarity perception of intonation on the basis of physical contour distances. The performance of the neural networks, measured in terms of mean absolute error, did not differ significantly from the human performance derived from judgement consistency.
Bibliographic reference. Reichel, Uwe D. / Kleber, Felicitas / Winkelmann, Raphael (2009): "Modelling similarity perception of intonation", In INTERSPEECH-2009, 1711-1714.