Abstract

One of the components of the text-to-speech synthesis system is the database of sounds. Two Lithuanian diphone databases in the MBROLA format are presented in this paper. The list of phonemes and the list of diphones necessary for Lithuanian text-to-speech synthesis are described. The problem of phoneme combinations that are not used in the Lithuanian language is dealt with in the work. Also, the article is concerned with transcribing a Lithuanian text.

Highlights

  • In his previous articles (Kasparaitis, 2001a; Kasparaitis, 2001b) the present author described the Lithuanian text-to-speech synthesizer “Aistis” in which 480 phonetic units of various lengths were used: parts of phonemes, allophones, diphthongs and mixed diphthongs, most often consonants with the beginnings of vowels and allophones of vowels are made use of

  • 8464 combinations may be built on the basis of 92 phonemes, it is impossible to have all the diphones made from these combinations in the Lithuanian language

  • The Project is aimed at creating a set of speech synthesizers and accumulating databases of speech sounds of as many languages as possible

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Summary

Introduction

In his previous articles (Kasparaitis, 2001a; Kasparaitis, 2001b) the present author described the Lithuanian text-to-speech synthesizer “Aistis” in which 480 phonetic units of various lengths were used: parts of phonemes, allophones, diphthongs and mixed diphthongs, most often consonants with the beginnings of vowels and allophones of vowels are made use of. This method has some disadvantages, the most important one being the problems related to changing the length of sounds. The transition points between the sounds are stored in the database, the duration of sounds can be calculated exactly

List of Phonemes in Lithuanian
Naming Conventions of Sounds
List of Diphones in Lithuanian
Problem of Non-existent Diphones in Text-to-Speech Synthesis
List of Replacements of Diphones
Lithuanian Diphone Databases
The Aim of MBROLA Project
Operation of MBROLA Synthesizer
Lithuanian MBROLA Databases
10. Transcription
11. Application of Diphone Databases in Speech Synthesis
Conclusions
Full Text
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