Speech Prosody 2006

Dresden, Germany
May 2-5, 2006

Text-based and Signal-based Prediction of Break Indices and Pause Durations

Hartmut R. Pfitzinger, Uwe D. Reichel

Institute of Phonetics and Speech Communication, University of Munich, Germany

The relation between symbolic and signal features of prosodic boundaries is experimentally studied using prediction methods. Text-based break index prediction turns out to be fairly good, but signal-based prediction and pause duration prediction perform worse. A possible reason is that random signal feature variations, as usually produced by humans, are hard to predict.

Full Paper

Bibliographic reference.  Pfitzinger, Hartmut R. / Reichel, Uwe D. (2006): "Text-based and signal-based prediction of break indices and pause durations", In SP-2006, paper 269.