Assigning phrase breaks from part-of-speech sequences

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Assigning phrase breaks from part-of-speech sequences

This paper presents an algorithm for automatically assigning phrase breaks to unrestricted text for use in a text-to-speech synthesizer. Text is first converted into a sequence of part-of-speech tags. Next a Markov model is used to give the most likely sequence of phrase breaks for the input part-of-speech tags. In the Markov model, states represent types of phrase break and the transitions bet...

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Using part-of-speech for predicting phrase breaks

Predicting the location of phrase breaks within an utterance is an important task in text-to-speech synthesis, and can be done with reasonable accuracy using part-of-speech (POS) tags as features. However, it seems unlikely that the 40 or more different tags used by most taggers all contribute to this task, and in fact many may contribute noise. In this paper, we present an algorithm for reduci...

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Integrating Linguistic and Performance-Based Constraints for Assigning Phrase Breaks

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...

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ژورنال

عنوان ژورنال: Computer Speech & Language

سال: 1998

ISSN: 0885-2308

DOI: 10.1006/csla.1998.0041