• DocumentCode
    735988
  • Title

    Building diphone database for Arabic text to speech synthesis system

  • Author

    El Kadhi, Aymen ; Gherri, Fadhila ; Amiri, Hamid

  • Author_Institution
    Nat. Eng. Sch. of, Tunis Univ. of Tunis El Manar, Tunis, Tunisia
  • fYear
    2015
  • fDate
    25-27 May 2015
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    The need to integrate automatic communication systems in daily applications and technology progress has encouraged speech synthesis sector development. Many variety of voice systems synthesis exist but diphones concatenation method appears to be efficient to contribute to speech synthesis of many languages. The first task in any development of speech synthesis system is to prepare the data base used for this aim. This paper describes the process of building an Arabic speech corpus based on diphones. We developed an acoustic data base of arabic diphones by studying the different possible combinations of phonemes to list all the possible diphones.
  • Keywords
    audio databases; natural language processing; speech synthesis; Arabic diphones; Arabic speech corpus; Arabic text to speech synthesis system; acoustic database; automatic communication system; diphone database; diphones concatenation method; phonemes; speech synthesis sector development; voice systems synthesis; Acoustics; Buildings; Context; Databases; Digital signal processing; Speech; Speech synthesis; Arabic language; Text To Speech synthesis; corpus; database preparation; diphones; grapheme-to-phonemes conversion;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control, Engineering & Information Technology (CEIT), 2015 3rd International Conference on
  • Conference_Location
    Tlemcen
  • Type

    conf

  • DOI
    10.1109/CEIT.2015.7233151
  • Filename
    7233151