SciDok

Eingang zum Volltext in SciDok

Lizenz

Report (Bericht) zugänglich unter
URN: urn:nbn:de:bsz:291-scidok-39897
URL: http://scidok.sulb.uni-saarland.de/volltexte/2011/3989/


Automatic classification of prosodically marked phrase boundaries in German

Kompe, Ralf ; Batliner, A. ; Kießling, A. ; Kilian, U. ; Niemann, H. ; Nöth, E. ; Regel-Brietzmann, P.

Quelle: (1993) Saarbrücken, 1993
pdf-Format:
Dokument 1.pdf (192 KB)

Bookmark bei Connotea Bookmark bei del.icio.us
SWD-Schlagwörter: Künstliche Intelligenz
Institut: DFKI Deutsches Forschungszentrum für Künstliche Intelligenz
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

Home | Impressum | Über SciDok | Policy | Kontakt | Datenschutzerklärung | English