• DocumentCode
    3632031
  • Title

    A HMM based system for fine tuning in automatic speech segmentation

  • Author

    Eren Akdemir;Tolga Ciloglu

  • Author_Institution
    Elektrik ve Elektronik M?hendisli?i B?l?m?, Orta Do?u Teknik ?niversitesi, Turkey
  • fYear
    2009
  • fDate
    4/1/2009 12:00:00 AM
  • Firstpage
    381
  • Lastpage
    384
  • Abstract
    In this study, a HMM based system for fine tuning the results of automatic speech segmentation results, is proposed. The phonetic boundaries of an automatic segmentation system are used as input to this system. This system includes diphone and diphone class based HMMs. The average absolute boundary error for /y/- /uu/ boundary is decreased by 44% and the average absolute boundary error for /t/-/p/ ve /uu/-/o/ class boundary is decreased by 63% using the proposed fine tuning system.
  • Keywords
    "Hidden Markov models","Speech synthesis"
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing and Communications Applications Conference, 2009. SIU 2009. IEEE 17th
  • ISSN
    2165-0608
  • Print_ISBN
    978-1-4244-4435-9
  • Type

    conf

  • DOI
    10.1109/SIU.2009.5136412
  • Filename
    5136412
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3632031