This study addresses the questions how to parameterize (1) aspects of fundamental frequency (F0) register, i.e. time-varying F0 level and range within prosodic phrases and (2) F0 discontinuities at prosodic boundaries in order to pre-dict perceived prosodic boundary strength in Hungarian spontaneous speech. For F0 register stylization we propose a new fitting procedure for base-, mid-, and toplines that does not require error-prone local peak and valley detection and is robust against disturbing influences of high pitch accents and boundary tones. From these linear stylizations we extracted features which reflect F0 boundary discontinuities and fitted stepwise linear regression and regression tree models to predict perceived boundary strength. In a ten-fold cross-validation the mean correlation between predictions and human judgments amounts up to 0.8.
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