• DocumentCode
    436995
  • Title

    Speech enhancement based on hearing masking properties and subspace

  • Author

    Qi, Ding ; Wang, Xu ; Jinfu, Xu ; Bingxi, Wang

  • Author_Institution
    Inf. & Eng. Univ., Henan, China
  • Volume
    1
  • fYear
    2004
  • fDate
    31 Aug.-4 Sept. 2004
  • Firstpage
    307
  • Abstract
    The DFT is used to asymptotically approach the KLT in signal subspace based speech enhancement so that the computation complexity is reduced from O(N3) to O(NlogN). The eigenvalues are perceptually filtered based on PEAQ masking model to suppress the music noise. The results tested in different background noise demonstrate this method can reduce the distortion to the speech signal effectively.
  • Keywords
    computational complexity; discrete Fourier transforms; eigenvalues and eigenfunctions; filtering theory; music; noise; speech enhancement; PEAQ masking model; computational complexity; eigenvalues; hearing masking property; music noise; signal subspace; speech enhancement; speech signal; Acoustic noise; Auditory system; Discrete Fourier transforms; Distortion; Filters; Masking threshold; Noise reduction; Psychoacoustic models; Speech enhancement; Vectors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing, 2004. Proceedings. ICSP '04. 2004 7th International Conference on
  • Print_ISBN
    0-7803-8406-7
  • Type

    conf

  • DOI
    10.1109/ICOSP.2004.1452643
  • Filename
    1452643
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=436995