Machine-readable dictionaries in text-to-speech systems

  • Authors:
  • Judith L. Klavans;Evelyne Tzoukermann

  • Affiliations:
  • Columbia University, New York, New York;A. T.&T. Bell Laboratories, Murray Hill, N. J.

  • Venue:
  • COLING '94 Proceedings of the 15th conference on Computational linguistics - Volume 2
  • Year:
  • 1994

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Abstract

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.