• DocumentCode
    665230
  • Title

    Indonesian Text-To-Speech system using syllable concatenation: Speech optimization

  • Author

    Mengko, Richard ; Ayuningtyas, Aulia

  • Author_Institution
    Sch. of Electr. Eng. & Inf., Inst. of Technol. Bandung, Bandung, Indonesia
  • fYear
    2013
  • fDate
    7-8 Nov. 2013
  • Firstpage
    412
  • Lastpage
    415
  • Abstract
    In the Indonesian language (bahasa), a strong correlation between sounds and letterscan be found, due to the fact that every single letter in a syllable is strongly pronounced. This `feature´ enables the creation of a syllable sound library with a one to one mapping to its written form. A previous investigation[2] suggest that a total of 1881 syllable sound library is needed to build an Indonesian Text to Speech System (TTS), using the syllable concatenation approach.This paper discuss the optimization of the Indonesian Text-To-Speech (TTS) that has been implemented earlier. The optimization is focused on the syllable sound data base quality and in the integration of syllables during the playback process. Three major improvements is explored here, syllable sound database pre-processing, syllabification method and playback algorithms to reach human reading speed.
  • Keywords
    natural languages; optimisation; speech synthesis; Indonesian text-to-speech system; TTS; human reading speed; playback algorithm; speech optimization; syllabification method; syllable concatenation approach; syllable sound database preprocessing; syllable sound library; Biomedical engineering; Information technology; Instruments; Libraries; Optimization; Speech; Synthesizers; Indonesian language; speech synthesis; syllable concatenation; text-to-speech;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Instrumentation, Communications, Information Technology, and Biomedical Engineering (ICICI-BME), 2013 3rd International Conference on
  • Conference_Location
    Bandung
  • Print_ISBN
    978-1-4799-1649-8
  • Type

    conf

  • DOI
    10.1109/ICICI-BME.2013.6698537
  • Filename
    6698537