• DocumentCode
    3589190
  • Title

    Improved speech enhancement by removal of impulsive noise

  • Author

    Suganthi, D. Addlin

  • Author_Institution
    Dept. of ECE, Anna Univ., Chennai, India
  • fYear
    2014
  • Firstpage
    145
  • Lastpage
    148
  • Abstract
    This paper presents enhancement of speech by removal of the impulsive noise in the speech signals. The impulsive noise results in surface degradation of audio recordings and the degradation of intelligibility in speech signals. To enhance the speech component from impulsive disturbance we go for emphasis, signal segmentation and log MMSE filtering. Pre-emphasis is done to increase the magnitude of high frequencies in the speech signal. Then the signal is segmented and the segmented frames are filtered in log MMSE filter. This filter does not require an inventory of pre-recorded clean signals. This method proposes a speaker independent speech enhancement.
  • Keywords
    audio recording; audio signal processing; filtering theory; least mean squares methods; signal denoising; speech enhancement; audio recordings; impulsive disturbance; impulsive noise removal; intelligibility degradation; log MMSE filtering; speaker independent speech enhancement; speech signal segmentation; surface degradation; Filtering; Noise measurement; Signal to noise ratio; Speech; Speech enhancement; Wiener filters; impulsive noise; log MMSE; speech enhancement;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Systems and Control (ISCO), 2014 IEEE 8th International Conference on
  • Print_ISBN
    978-1-4799-3836-0
  • Type

    conf

  • DOI
    10.1109/ISCO.2014.7103934
  • Filename
    7103934