Automatic classification of prosodically marked phrase boundaries in German
Ralf Kompe, Anton M. Batliner, AH Kiessling, Ute Kilian, Hendrik J. Niemann, Elmar Nöth, Peter Regel-Brietzmann · Publications of the UdS (Saarland University) · 1993
A large corpus has been created automatically and read by 100 speakers. Phrase boundaries were labeled in the sentences automatically during sentence generation. Perception experiments on a subset of 500 utterances showed a high agreement between the automatically generated boundary markers and the ones perceived by listeners. Gaussian distribution and polynomial classifiers were trained on a set of prosodic features computed from the speech signal using the automatically generated boundary markers. Comparing the classification results with the judgments of the listeners yielded in a recognition rate of 87%. A combination with stochastic language models improved the recognition rate to 90%. We found that the pause and the durational features are most important for the classification, but that the influence of F0 is not neglectable. >