• DocumentCode
    3392362
  • Title

    Voice activity detection based on the bispectrum

  • Author

    Dou, Hui-jing ; Wu, Zhao-Yang ; Feng, Yan ; Qian, Yan-zhou

  • Author_Institution
    Sch. of Electron. Inf. & Control Eng., Beijing Univ. of Technol., Beijing, China
  • fYear
    2010
  • fDate
    24-28 Oct. 2010
  • Firstpage
    502
  • Lastpage
    505
  • Abstract
    In order to improve the performance of voice activity detection under multiple noise environments, a new voice activity detection algorithm based on the bis-pectrum was presented. This method detect the speech signal by using the special slice of the bispectrum. The performance of the algorithm was compared with the voice activity detection algorithm in standard G.729 annex B of ITU in experimental simulation. Experimental results show that the algorithm has high classification accuracy and stability.
  • Keywords
    speech processing; ITU; bispectrum; multiple noise environment; speech signal detection; voice activity detection algorithm; Detection algorithms; Estimation; Noise measurement; Signal processing algorithms; Signal to noise ratio; Speech; bispectrum; noise environment; voice activity detection;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing (ICSP), 2010 IEEE 10th International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-5897-4
  • Type

    conf

  • DOI
    10.1109/ICOSP.2010.5655159
  • Filename
    5655159