• DocumentCode
    3016668
  • Title

    A comparative study on single-channel noise estimation methods for speech enhancement

  • Author

    Veisi, H. ; Sameti, Hossein

  • Author_Institution
    Dept. of Comput. Eng., Sharif Univ. of Technol., Tehran, Iran
  • fYear
    2012
  • fDate
    27-29 Nov. 2012
  • Firstpage
    645
  • Lastpage
    650
  • Abstract
    This paper studies a number of well-known noise estimation techniques and provides a comparative performance analysis of them in speech enhancement platform. Two types of evaluation data that simulate consistent and inconsistent noisy conditions are prepared in the presence of six noise types at different SNR levels. The performance of speech enhancement systems and the spectrum distance of the estimated and original noise spectrums are used as evaluation criteria. The evaluations indicate that a simple VAD method outperforms noise estimation methods in most of the consistent noisy conditions.
  • Keywords
    estimation theory; speech enhancement; SNR level; VAD method; noise spectrum; single-channel noise estimation; spectrum distance; speech enhancement; voice activity detection; Decision support systems; Intelligent systems; Signal to noise ratio; VAD; minimal tracking; minimum controlled recursive average; noise estimation; speech enhancement;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Systems Design and Applications (ISDA), 2012 12th International Conference on
  • Conference_Location
    Kochi
  • ISSN
    2164-7143
  • Print_ISBN
    978-1-4673-5117-1
  • Type

    conf

  • DOI
    10.1109/ISDA.2012.6416613
  • Filename
    6416613