• DocumentCode
    3399333
  • Title

    Single channel speech enhancement using spectral gain shaping method and dereverberation for digital hearing aid

  • Author

    Deepa, D. ; Prakarsha, C. ; Shanmugam, A.

  • Author_Institution
    Dept. of ECE, Bannari Amman Inst. of Technol., Sathyamangalam, India
  • fYear
    2012
  • fDate
    10-12 Jan. 2012
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Speech enhancement algorithms are used to remove back ground noise in a speech signal and are become an integral component of modern hearing aids. The existing speech enhancement algorithms have short comings such as low speech quality, high signal delay and computational complexity. So in this paper a speech enhancement algorithm for the joint suppression of late reverberant speech and background noise which addresses the special requirements of digital hearing aids is proposed. It is based on a generalized spectral subtraction and employs a low delay spectral gain shaping method with parallel equalization filters for noise reduction. This method provides better speech intelligibility with increased SNR and with minimum Mean Square Error.
  • Keywords
    filtering theory; hearing aids; speech enhancement; speech intelligibility; back ground noise; computational complexity; digital hearing aid; generalized spectral subtraction; high signal delay; joint suppression; mean square error; noise reduction; parallel equalization filters; single channel speech enhancement; spectral gain shaping method; speech intelligibility; speech signal; Estimation; Noise measurement; Reverberation; Signal to noise ratio; Speech; Speech enhancement; Mean square error; Signal to Noise Ratio; dereverberation; speech enhancement;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Communication and Informatics (ICCCI), 2012 International Conference on
  • Conference_Location
    Coimbatore
  • Print_ISBN
    978-1-4577-1580-8
  • Type

    conf

  • DOI
    10.1109/ICCCI.2012.6158847
  • Filename
    6158847