Integrating Linguistic and Performance-Based Constraints for Assigning Phrase Breaks

6576

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Abstract

The mapping between syntactic structure and prosodic structure is a widely discussed topic in linguistics. In this work we use insights gained from research on syntax-to-prosody mapping in or- der to develop a computational model which assigns prosodic structure to unrestricted text. The result- ing structure is intended to help a text-to-speech (TTS) system to predict phrase breaks. In addition to linguistic constraints, the model also incorporates a performance-oriented parameter which approxi- mates the effect of speaking rate. The model is rule- based rather than probabilistic, and does not require training. We present the model and implementa- tions for both English and German, and give eval- uation results for both implementations. We then examine how far the approach can account for the different break patterns which are associated with slow, normal and fast speech rates. 1

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Integrating Linguistic and Performance-Based Constraints for Assigning Phrase Breaks Michaela Atterer Institute of Natural Language Processing University of Stuttgart, Germany atterer@ims.uni-stuttgart.de Ewan Klein Division of Informatics University of Edinburgh, UK, and Edify Internat. Development Centre, UK ewan@cogsci.ed.ac.uk Abstract The mapping between syntactic structure and prosodic structure is a widely discussed topic in linguistics. In this work we use insights gained from research on syntax-to-prosody mapping in or- der to develop a computational model which assigns prosodic structure to unrestricted text. The result- ing structure is intended to help a text-to-speech (TTS) system to predict phrase breaks. In addition to linguistic constraints, the model also incorporates a performance-oriented parameter which approxi- mates the effect of speaking rate. The model is rule- based rather than probabilistic, and does not require training. We present the model and implementa- tions for both English and German, and give eval- uation results for both implementations. We then examine how far the approach can account for the different break patterns which are associated with slow, normal and fast speech rates. 1 Introduction Normal spoken language is not delivered in an un- interrupted monotone; prosodic cues such as pauses or boundary tones greatly help the listener to un- derstand an utterance. Most text-to-speech systems use statistical models to find the appropriate loca- tions for prosodic phrase breaks. In this work we use insights gained from the linguistics literature to develop a computational model which assigns prosodic structure to unrestricted text. We start by briefly reviewing the relationship be- tween syntactic and prosodic structure. Figure 1 shows an example of the right-branching syntactic structure that is standardly assigned to English sen- tences. Figure 2 shows a much flatter tree which corresponds to widely accepted views of the same sentence’s prosodic structure. According to the lat- ter, the Utterance level is partitioned into intona- a little girl who didn’t like big dogs He would tease N AP V NP N V DetAP I NP IP N’ N’ I’ I VP NP NP VP I’ IP Figure 1: Syntactic structure of a sentence. a little girl who didn’t like big dogs He would tease φ φ φ φ I−phrase I−phrase Utterance Figure 2: Prosodic structure of a sentence. tional (I-) phrases,1 which in turn are partitioned into phonological ( � -) phrases. (We ignore lower levels of representation such as prosodic words and syllables for the purposes of this paper.) In their investigation of the syntax-prosody map- ping, Nespor and Vogel (1986) define � -phrases as consisting of a lexical head (e.g., a verb, noun or adjective) together with all the material on its non- recursive side up until the next head.2 In the ex- 1Intonational phrases are phonologically defined as units which are associated with a characteristic intonational contour; in particular, an I-phrase is marked by the presence of a major pitch accent. The boundary of an I-phrase is canonically man- ifested as a perceptible pause, accompanied by a local fall or rise in F � (fundamental frequency); it can …

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Labeled Text

The mapping between syntactic structure and prosodic structure is a widely discussed topic in linguistics. In this work we use insights gained from research on syntax-to-prosody mapping in order to develop a computational model which assigns prosodic structure to unrestricted text. The resulting structure is intended to help a text-to-speech (TTS) system to predict phrase breaks. In addition to linguistic constraints, the model also incorporates a performance-oriented parameter which approximates the effect of speaking rate. The model is rulebased rather than probabilistic, and does not require training. We present the model and implementations for both English and German, and give evaluation results for both implementations. We then examine how far the approach can account for the different break patterns which are associated with slow, normal and fast speech rates. 1

Publication Details

Paper ID:
6576
Year:
2002
Publication:
TIPSTER
Publication Type:
conf
DOI:
nan