A UNIFIED APPROACH TO GRAPHEME-TO-PHONEME CONVERSION FOR THE PLATTOS SLOVENIAN TEXT-TO-SPEECH SYSTEM

  • Authors:
  • Matej Rojc;Zdravko Kacic

  • Affiliations:
  • University of Maribor, Maribor, Slovenia;University of Maribor, Maribor, Slovenia

  • Venue:
  • Applied Artificial Intelligence
  • Year:
  • 2007

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Abstract

This article presents a new unified approach to modeling grapheme-to-phoneme conversion for the PLATTOS Slovenian text-to-speech system. A cascaded structure consisting of several successive processing steps is proposed for the aim of grapheme-to-phoneme conversion. Processing foreign words and rules for the post-processing of phonetic transcriptions are also incorporated in the engine. The grapheme-to-phoneme conversion engine is flexible, efficient, and appropriate for multilingual text-to-speech systems. The grapheme-to-phoneme conversion process is described via finite-state machine formalism. The engine developed for Slovenian language can be integrated into various applications but can be even more efficiently integrated into architectures based on finite-state machine formalisms. Provided the necessary language resources are available, the presented approach can also be used for other languages.