Please use this identifier to cite or link to this item: doi:10.22028/D291-25279
Title: Strategies for focal accent detection in spontaneous speech
Author(s): Petzold, Anja
Language: English
Year of Publication: 1995
SWD key words: Künstliche Intelligenz
Free key words: artificial intelligence
DDC notations: 004 Computer science, internet
Publikation type: Report
Abstract: In this paper a new method for detection of focus is developed. Speech data consists of German spontaneous speech from several speakers. At present the algorithm uses only the fundamental frequency values. By computing a nonlinear reference line through significant anchor points in the F_{0} course, points of highest prominence are determined. The global recognition rate is 78,5% and the mean recognition rate is 66,6%.
Link to this record: urn:nbn:de:bsz:291-scidok-53559
Series name: Vm-Report / Verbmobil, Verbundvorhaben, [Deutsches Forschungszentrum für Künstliche Intelligenz]
Series volume: 166
Date of registration: 10-Jun-2013
Faculty: SE - Sonstige Einrichtungen
Department: SE - DFKI Deutsches Forschungszentrum für Künstliche Intelligenz
Collections:SciDok - Der Wissenschaftsserver der Universität des Saarlandes

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