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Lizenz
Report (Bericht) zugänglich unter
Automatic classification of prosodically marked phrase boundaries in German
URN: urn:nbn:de:bsz:291-scidok-39897
URL: http://scidok.sulb.uni-saarland.de/volltexte/2011/3989/
Quelle:
(1993) Saarbrücken, 1993
pdf-Format:
Dokument 1.pdf (192 KB)
SWD-Schlagwörter:
Künstliche Intelligenz
Institut:
DDC-Sachgruppe:
Informatik
Dokumentart:
Report (Bericht)
Schriftenreihe:
Vm-Report / Verbmobil, Verbundvorhaben, [Deutsches Forschungszentrum für Künstliche Intelligenz]
Bandnummer:
4
Sprache:
Englisch
Erstellungsjahr:
1993
Publikationsdatum:
21.07.2011
Kurzfassung auf Englisch:
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.
Lizenz:
Standard-Veröffentlichungsvertrag