Please use this identifier to cite or link to this item: doi:10.22028/D291-25093
Title: Automatic classification of prosodically marked phrase boundaries in German
Author(s): Kompe, Ralf
Batliner, A.
Kießling, A.
Kilian, U.
Niemann, H.
Nöth, E.
Regel-Brietzmann, P.
Language: English
Year of Publication: 1993
OPUS Source: Saarbrücken, 1993
SWD key words: Künstliche Intelligenz
DDC notations: 004 Computer science, internet
Publikation type: Report
Abstract: 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.
Link to this record: urn:nbn:de:bsz:291-scidok-39897
Series name: Vm-Report / Verbmobil, Verbundvorhaben, [Deutsches Forschungszentrum für Künstliche Intelligenz]
Series volume: 4
Date of registration: 21-Jul-2011
Faculty: SE - Sonstige Einrichtungen
Department: SE - DFKI Deutsches Forschungszentrum für Künstliche Intelligenz
Collections:SciDok - Der Wissenschaftsserver der Universität des Saarlandes

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