Please use this identifier to cite or link to this item: doi:10.22028/D291-25269
Title: Synthesizing prosody : a prominence-based approach
Author(s): Heuft, Barbara
Portele, Thomas
Language: English
Year of Publication: 1996
SWD key words: Künstliche Intelligenz
Free key words: artificial intelligence
DDC notations: 004 Computer science, internet
Publikation type: Report
Abstract: A preliminary test exploring 4 emotions showed that conveying emotions by time domain synthesis may be possible. Therefore, a more sophisticated test was carried out in order to determine the influence of the prosodic parameters in the perception of a speaker's emotional state. Six different emotional states were investigated. The stimuli of the second test were used in three different testing procedures: as natural speech, resynthesized and reduced to a sawtooth signal. The recognition rates were lower than in the preliminary test, although the differences between the recognition rates of natural and synthetic speech were comparable for both tests. The outcome of the sawtooth test showed that the amount of information about a speaker's emotional state transported by F_{0}, energy and overall duration is rather small. However, we could determine relations between the acoustic prosodic parameters and the emotional content of speech.
Link to this record: urn:nbn:de:bsz:291-scidok-53663
Series name: Vm-Report / Verbmobil, Verbundvorhaben, [Deutsches Forschungszentrum für Künstliche Intelligenz]
Series volume: 176
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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