• DocumentCode
    2540984
  • Title

    Iterative noise power subtraction technique for improved speech quality

  • Author

    Khan, Mohammad Rezwan ; Hasan, T. ; Khan, Mohammad Rezwan

  • Author_Institution
    Dept. of EEE, Bangladesh Univ. of Eng. & Technol., Dhaka
  • fYear
    2008
  • fDate
    20-22 Dec. 2008
  • Firstpage
    391
  • Lastpage
    394
  • Abstract
    An iterative spectral subtraction technique for speech enhancement that gives improved performance has been presented. In all the speech enhancement methods, a predetermined average power is subtracted in the spectral domain or a gain function less than unity is generated for the individual harmonics to reduce noise power. What ever the process is, it is a common observation that some of the power spectrums become negative after the enhancement process and is avoided by forcing the coefficients to zero. Under such a condition the actual amount of noise power subtracted is less than the amount intended. If the power subtraction is done in an iterative way such that the predetermined power is correctly subtracted from the noisy signal, the segmental SNR improves appreciably. The results show that an improvement in average segmental SNR by more than 0.5 dB can be achieved by adopting this technique.
  • Keywords
    iterative methods; speech enhancement; improved speech quality; iterative noise power subtraction technique; iterative spectral subtraction technique; segmental SNR; speech enhancement; Iterative methods; Noise level; Noise reduction; Power engineering and energy; Power harmonic filters; Power system harmonics; Signal to noise ratio; Speech enhancement; Subtraction techniques; Wiener filter;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical and Computer Engineering, 2008. ICECE 2008. International Conference on
  • Conference_Location
    Dhaka
  • Print_ISBN
    978-1-4244-2014-8
  • Electronic_ISBN
    978-1-4244-2015-5
  • Type

    conf

  • DOI
    10.1109/ICECE.2008.4769238
  • Filename
    4769238