Modeling local context for pitch accent prediction

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https://dl.acm.org/doi/10.3115/1075218.1075248

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https://doi.org/10.3115/1075218.1075248
 http://hdl.handle.net/11603/38582

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UMBC Information Systems Department

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https://orcid.org/0000-0002-5989-8543

Date

2000-10-03

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conference papers and proceedings
preprints
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Citation of Original Publication

Pan, Shimei, and Julia Hirschberg. “Modeling Local Context for Pitch Accent Prediction.” In Proceedings of the 38th Annual Meeting on Association for Computational Linguistics, 233–40. ACL ’00. USA: Association for Computational Linguistics, 2000. https://doi.org/10.3115/1075218.1075248.

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Abstract

Pitch accent placement is a major topic in intonational phonology research and its application to speech synthesis. What factors influence whether or not a word is made intonationally prominent or not is an open question. In this paper, we investigate how one aspect of a word's local context --- its collocation with neighboring words --- influences whether it is accented or not. Results of experiments on two transcribed speech corpora in a medical domain show that such collocation information is a useful predictor of pitch accent placement.