• DocumentCode
    1722092
  • Title

    Blind Estimation and Suppression of Late Reverberation Utilising Auditory Masking

  • Author

    Tsilfidis, Alexandros ; Mourjopoulos, John ; Tsoukalas, Dionysis

  • Author_Institution
    Audio & Acoust. Technol. Group, Univ. of Patras, Patras
  • fYear
    2008
  • Firstpage
    208
  • Lastpage
    211
  • Abstract
    A new method for blind estimation and suppression of late reverberation of speech signals is presented. The proposed algorithm consists of two steps. In a first step, the reverberation time is blindly determined from the reverberant signal. Then, an approximation of the power spectrum of late reverberation is subtracted from the power spectrum of the reverberant signal. Hence, a preliminary estimation of the anechoic speech spectrum is derived. In a second step, the auditory masking threshold of the clean spectrum estimation is calculated and used to define the coefficients for a nonlinear filter for the reverberant signal, which produces the final enhanced speech signal. The performance of the algorithm is demonstrated on artificially generated signals. Subjective tests are conducted and their results indicate that the quality of the speech signals obtained by the proposed method is superior when compared to previous methods.
  • Keywords
    approximation theory; nonlinear filters; reverberation; speech enhancement; speech intelligibility; anechoic speech spectrum estimation; auditory masking threshold; blind estimation; late reverberant speech signal enhancement; nonlinear filter; power spectrum approximation; signal suppression; Filtering; Masking threshold; Nonlinear filters; Reverberation; Signal generators; Spectral analysis; Speech coding; Speech enhancement; Tail; Testing; Auditory Masking; Dereverberation; Spectral Subtraction; Speech Enhancement;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Hands-Free Speech Communication and Microphone Arrays, 2008. HSCMA 2008
  • Conference_Location
    Trento
  • Print_ISBN
    978-1-4244-2337-8
  • Electronic_ISBN
    978-1-4244-2338-5
  • Type

    conf

  • DOI
    10.1109/HSCMA.2008.4538723
  • Filename
    4538723