• DocumentCode
    1196184
  • Title

    Vowel Onset Point Detection Using Source, Spectral Peaks, and Modulation Spectrum Energies

  • Author

    Prasanna, S. R Mahadeva ; Reddy, B. V Sandeep ; Krishnamoorthy, P.

  • Author_Institution
    Dept. of Electron. & Commun. Eng., Indian Inst. of Technol. Guwahati, Guwahati
  • Volume
    17
  • Issue
    4
  • fYear
    2009
  • fDate
    5/1/2009 12:00:00 AM
  • Firstpage
    556
  • Lastpage
    565
  • Abstract
    Vowel onset point (VOP) is the instant at which the onset of vowel takes place during speech production. There are significant changes occurring in the energies of excitation source, spectral peaks, and modulation spectrum at the VOP. This paper demonstrates the independent use of each of these three energies in detecting the VOPs. Since each of these energies represents a different aspect of speech production, it may be possible that they contain complementary information about the VOP. The individual evidences are therefore combined for detecting the VOPs. The error rates measured as the ratio of missing and spurious to the total number of VOPs evaluated on the sentences taken from the TIMIT database are 6.92%, 8.8%, 6.13%, and 4.0% for source, spectral peaks, modulation spectrum, and combined information, respectively. The performance of the combined method for VOP detection is improved by 2.13% compared to the best performing individual VOP detection method.
  • Keywords
    speech processing; TIMIT database; excitation source; modulation spectrum energy; spectral peaks; speech production; vowel onset point detection; Automatic speech recognition; Data mining; Databases; Error analysis; Feature extraction; Lips; Shape; Speech processing; Speech recognition; Tongue; Modulation spectrum and combining; source; spectral peaks; vowel onset point (VOP);
  • fLanguage
    English
  • Journal_Title
    Audio, Speech, and Language Processing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1558-7916
  • Type

    jour

  • DOI
    10.1109/TASL.2008.2010884
  • Filename
    4802173