Please use this identifier to cite or link to this item: doi:10.22028/D291-25121
Title: Automatic labeling of phrase accents in German
Author(s): Kiessling, Andreas
Kompe, Ralf
Batliner, Anton
Niemann, Heinrich
Nöth, Elmar
Language: English
Year of Publication: 1994
OPUS Source: Saarbrücken, 1994
SWD key words: Künstliche Intelligenz
Free key words: speech recognition
hidden Markov models
DDC notations: 004 Computer science, internet
Publikation type: Report
Abstract: In this paper a method for the automatic labeling of phrase accents is described, based on a large text corpus that has been generated automatically and read by 100 speakers. Perception experiments on a subset of 500 utterances show a high agreement between the automatically generated accent labels and the judgment scores obtained. We computed different prosodic feature vectors from the speech signal for each syllable and trained different Gaussian distribution classifiers and artificial neural networks using the automatically generated accent labels. Recognition rates of up to 83% could be achieved for the distinction of accentuated vs. unaccentuated syllables. Similar results could be obtained for the comparison of the listeners judgments with the automatic classification.
Link to this record: urn:nbn:de:bsz:291-scidok-40719
Series name: Vm-Report / Verbmobil, Verbundvorhaben, [Deutsches Forschungszentrum für Künstliche Intelligenz]
Series volume: 35
Date of registration: 2-Aug-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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