• DocumentCode
    2461721
  • Title

    Enhancement Speech Compression Technique Using Modern Wavelet Transforms

  • Author

    Kornsing, Supatinee ; Srinonchat, Jakkree

  • Author_Institution
    Electron. & Telecommun. Eng. Dept., Rajamangala Univ. of Technol., Thanyaburi Pathumthani, Thailand
  • fYear
    2012
  • fDate
    4-6 June 2012
  • Firstpage
    393
  • Lastpage
    396
  • Abstract
    The Discrete Wavelet Transform is the most powerful and new signal compression technique which uses multi-resolution analysis for analyzing speech signal. This article proposes the frequency loss less comparison of the modern wavelets based on speech compression technique. Haar wavelet (Haar), Biorthogonal wavelet (Bior) and Discrete approximation of Meyer wavelet (Dmey) are investigated in this experiment with eighty speech signal from male and female. The experiments indicated that the Bior provides the best performance in time and frequency domain. Also it can also gain the compression rate as 2.67 to the original speech signal.
  • Keywords
    Haar transforms; data compression; discrete wavelet transforms; speech coding; Haar wavelet; biorthogonal wavelet; discrete approximation of Meyer wavelet; discrete wavelet transform; enhancement speech compression technique; frequency domain; frequency lossless comparison; modern wavelet transforms; multiresolution analysis; signal compression technique; speech compression technique; speech signal analysis; time domain; Discrete wavelet transforms; Frequency domain analysis; Speech; Speech processing; Wavelet domain; Biorthogonal wavelet; Discrete approximation of Meyer wavelet; Haar wavelet; Speech signal compression;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer, Consumer and Control (IS3C), 2012 International Symposium on
  • Conference_Location
    Taichung
  • Print_ISBN
    978-1-4673-0767-3
  • Type

    conf

  • DOI
    10.1109/IS3C.2012.106
  • Filename
    6228329