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Machine-Readable Dictionaries in Text-to-Speech Systems

Klavans, Judith L.; Tzoukermann, Evelyne

This paper presents the results of an experiment using machine-readable dictionaries (MRDs) and corpora for building concatenative units for text to speech (TTS) systems. Theoretical questions concerning the nature of phonemic data in dictionaries are raised; phonemic dictionary data is viewed as a representative corpus over which to extract n- gram phonemic frequencies in the language. Dictionary data are compared to corpus data, and phoneme inventories are evaluated for coverage. A methodology is defined to compute phonemic n-grams for incorporation into a TTS system.

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More About This Work

Academic Units
Computer Science
Publisher
Proceedings of the Fifteenth International Conference on Computational Linguistics (COLING)
Published Here
April 26, 2013
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