• DocumentCode
    228276
  • Title

    Wavelet based Speech Coding technique using median function thresholding

  • Author

    Sinha, A.K. ; Dutta, S.K. ; Dev, B. ; Jaydipta ; Ranjan, R. ; Kumari, R.

  • Author_Institution
    Dept. of Electr. Eng., Nat. Inst. of Technol., Silchar, India
  • fYear
    2014
  • fDate
    13-14 Feb. 2014
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    The development in the field of digital communication has led to drastic improvements in the way human speech is handled for transmission. Voice communication has become a booming field for a few decades. Speech compression is used to eliminate the redundancies present in the speech signal and is associated with its efficient transmission. Speech compression is achieved by using Speech Coding. Speech coding uses speech-specific parameter estimation utilising digital signal processing techniques on audio signals, to model the speech signal. The model obtained is combined with generic data compression algorithms to represent the resulting modeled parameters in a compact bitstream.
  • Keywords
    audio signal processing; speech coding; wavelet transforms; audio signals; digital signal processing techniques; median function thresholding; speech compression; speech signal; speech specific parameter estimation; voice communication; wavelet based speech coding technique; Approximation methods; Discrete wavelet transforms; Speech coding; Vectors; Vocoders; DWT; Median Thresholding; Signal to noise ratio component; Speech coding; Wavelet;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electronics and Communication Systems (ICECS), 2014 International Conference on
  • Conference_Location
    Coimbatore
  • Print_ISBN
    978-1-4799-2321-2
  • Type

    conf

  • DOI
    10.1109/ECS.2014.6892538
  • Filename
    6892538