• DocumentCode
    3641893
  • Title

    Sources of increased variability in HMM synthetic voices

  • Author

    Marius Cotescu;Inge Gavat

  • Author_Institution
    Applied Electronics and Information Engineering Department, University “
  • fYear
    2011
  • fDate
    5/1/2011 12:00:00 AM
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    The paper presents a study on the effect of different methods of coding the STRAIGHT aperiodicity coefficients and models of the vocal tract on the quality of synthetic speech generated using HMMs. Three different coding schemes were implemented in the HTS synthesis system: the classic coding of the mean value in five frequency sub-bands, Mel-cepstral coefficients, and a simple unit selection method. The effect of removing the energy and spectral tilt from the speech spectrum, and modeling them independently from the vocal tract was also studied. Five systems were trained using the ARCTIC_SLT database to test the proposed methods. The synthetic voices were evaluated in three subjective listening tests.
  • Keywords
    "Hidden Markov models","Encoding","Correlation","Cepstral analysis","Speech","Feature extraction","Speech synthesis"
  • Publisher
    ieee
  • Conference_Titel
    Speech Technology and Human-Computer Dialogue (SpeD), 2011 6th Conference on
  • Print_ISBN
    978-1-4577-0440-6
  • Type

    conf

  • DOI
    10.1109/SPED.2011.5940735
  • Filename
    5940735