• DocumentCode
    3622703
  • Title

    Croatian HMM based speech synthesis

  • Author

    S. Martincic-Ipsic;I. Ipsic

  • Author_Institution
    Dept. of Informatics, Univ. of Rijeka
  • fYear
    2006
  • fDate
    6/28/1905 12:00:00 AM
  • Firstpage
    251
  • Lastpage
    256
  • Abstract
    The paper describes the development of a trainable speech synthesis system, based on hidden Markov models. An approach to speech signal generation using a source-filter model is presented. Inputs into the synthesis system are speech utterances and their phone level transcriptions. A method using context dependent acoustic models and Croatian phonetic rules for speech synthesis is proposed. Croatian HMM based speech synthesis experiments are presented and generated speech results are discussed
  • Keywords
    "Hidden Markov models","Speech synthesis","Signal synthesis","Signal generators","Context modeling","Speech recognition","Application software","Humans","Production systems","Filters"
  • Publisher
    ieee
  • Conference_Titel
    Information Technology Interfaces, 2006. 28th International Conference on
  • ISSN
    1330-1012
  • Print_ISBN
    953-7138-05-4
  • Type

    conf

  • DOI
    10.1109/ITI.2006.1708487
  • Filename
    1708487
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3622703