Neural network synthesiser of pause duration for Mandarin text-to-speech

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Abstract

A neural network based approach of pause-duration synthesis for Mandarin text-to-speech is proposed. It uses an MLP to replace explicit synthesis rules for generating pause duration from input text. By properly training the MLP using a large set of utterances, phonological rules of producing pause duration are automatically learned. Experimental results confirmed that this is a promising approach.

Original languageEnglish
Pages (from-to)720-721
Number of pages2
JournalElectronics Letters
Volume28
Issue number8
DOIs
StatePublished - 1 Jan 1992

Keywords

  • Neural networks
  • Signal processing
  • Speech synthesis

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