• DocumentCode
    705304
  • Title

    Theoretical analysis of musical noise in generalized spectral subtraction: Why should not use power/amplitude subtraction?

  • Author

    Inoue, Takayuki ; Takahashi, Yu ; Saruwatari, Hiroshi ; Shikano, Kiyohiro ; Rondo, Kazunobu

  • Author_Institution
    Nara Inst. of Sci. & Technol., Nara, Japan
  • fYear
    2010
  • fDate
    23-27 Aug. 2010
  • Firstpage
    994
  • Lastpage
    998
  • Abstract
    In this paper, we provide a new theoretical analysis of the amount of musical noise generated via generalized spectral subtraction based on higher-order statistics. Power spectral subtraction is the most commonly used spectral subtraction method, and in our previous study a musical noise assessment theory limited to the power spectral domain was proposed. Therefore, in this paper, we propose a generalization of our previous theory on spectral subtraction for arbitrary exponent parameters. We can thus compare the amount of musical noise between any exponent domains from the results of our analysis. We also clarify that less musical noise is generated when we choose the lower exponent spectral domain; this implies that there is no theoretical justification for using power/amplitude spectral subtraction.
  • Keywords
    acoustic signal processing; higher order statistics; music; spectral analysis; generalized spectral subtraction method; higher-order statistics; lower exponent spectral domain; musical noise analysis; musical noise assessment theory; power spectral domain; power-amplitude subtraction method; Higher order statistics; Noise; Noise measurement; Noise reduction; Spectral analysis; Speech;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing Conference, 2010 18th European
  • Conference_Location
    Aalborg
  • ISSN
    2219-5491
  • Type

    conf

  • Filename
    7096577