Prediction Of Word Prominence

Christina Widera, Thomas Portele, Maria Wolters

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract / Description of output

Control of prosody is essential for the synthesis of natural sounding speech. Text-to-speech systems tend to accent too many words when taking into account only the distinction between open-class and closed-class words. In the prominence-based approach [1], the degree of accentuation of a syllable is described in terms of a gradual prominence parameter. This paper presents the calculation of the prominence level of words based on their word class, the classes of the surrounding words, and their position in a clause. Rules predicting word prominence are derived from statistical analysis of a prosodic database. The hand-crafted rules are compared with the results of several machine learning algorithms on the same material. Furthermore, a perceptual test and an analysis of the resulting speech signals are carried out.
Original languageEnglish
Title of host publicationIn Proc. European Conf. on Speech Communication and Technology
Pages999-1002
Number of pages4
Publication statusPublished - 1997
Event5th European Conference on Speech Communication and Technology (EUROSPEECH 1997) - Rhodes, Greece
Duration: 22 Sept 199725 Sept 1997

Conference

Conference5th European Conference on Speech Communication and Technology (EUROSPEECH 1997)
Country/TerritoryGreece
CityRhodes
Period22/09/9725/09/97

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