TY  - RPRT
T1  - Automatic classification of prosodically marked phrase boundaries in German
T3  - Saarbrücken, 1993
A1  - Kompe,Ralf
A1  - Batliner,A.
A1  - Kießling,A.
A1  - Kilian,U.
A1  - Niemann,H.
A1  - Nöth,E.
A1  - Regel-Brietzmann,P.
Y1  - 2011/07/21
N2  - A large corpus has been created automatically and read by 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.
KW  - Künstliche Intelligenz
CY  - Saarbrücken
PB  - Universitäts- und Landesbibliothek
AD  - Postfach 151141, 66041 Saarbrücken
UR  - http://scidok.sulb.uni-saarland.de/volltexte/2011/3989
ER  -