• DocumentCode
    3236784
  • Title

    Complex cepstrum based single channel speech dereverberation

  • Author

    Xizhong, Shen ; Guang, Meng

  • Author_Institution
    Mech. & Electr. Dept., Shanghai Inst. of Technol., Shanghai, China
  • fYear
    2009
  • fDate
    25-28 July 2009
  • Firstpage
    7
  • Lastpage
    11
  • Abstract
    A new method of blind dereverberation of single channel is proposed to solve the existing problem about the study of speech signal. Firstly, segmentation of speech signal with variant length is proposed on the sampled speech signal to obtain relatively accurate estimation of the subsequent cepstrum, and the complex cepstrum is applied to the valid segments. Then, the pre-estimation of the room impulse response is obtained, and so is the inverse-filter solution. Finally, single channel blind deconvolution is used by taking the inverse-filter as the initial parameter of the algorithm. Simulations and experiments demonstrate its validity and robusty.
  • Keywords
    acoustic filters; blind source separation; cepstral analysis; deconvolution; speech processing; blind dereverberation; complex cepstrum; inverse-filter; inverse-filter solution; room impulse response; single channel dereverberation; speech dereverberation; speech signal segmentation; Automatic speech recognition; Cepstrum; Computer science; Computer science education; Deconvolution; Educational technology; Laboratories; Microphones; Reverberation; Robustness; Complex cepstrum; Dereverberation; Room Impulse response; Segmentation; Speech;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science & Education, 2009. ICCSE '09. 4th International Conference on
  • Conference_Location
    Nanning
  • Print_ISBN
    978-1-4244-3520-3
  • Electronic_ISBN
    978-1-4244-3521-0
  • Type

    conf

  • DOI
    10.1109/ICCSE.2009.5228535
  • Filename
    5228535