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
Number of pages4
Publication statusPublished - 1997
Event5th European Conference on Speech Communication and Technology (EUROSPEECH 1997) - Rhodes, Greece
Duration: 22 Sept 199725 Sept 1997


Conference5th European Conference on Speech Communication and Technology (EUROSPEECH 1997)


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