Removing micromelody from fundamental frequency contours

Uwe D. Reichel, Raphael Winkelmann, Institute of Phonetics and Speech Processing, University of Munich

In this paper we describe a new method to diminish microprosodic components of fundamental frequency contours by applying weight functions linked to microprosodically classified phone combinations. For vowel segments in obstruent environments our algorithm outperforms standard smoothing algorithms like moving average filtering, Savitzky-Golay filtering or MOMEL in diminishing f0 variations related to microprosodic factors while retaining significant differences related to macroprosody.