• DocumentCode
    768926
  • Title

    A perceptually motivated approach for speech enhancement

  • Author

    Hu, Yi ; Loizou, Philipos C.

  • Author_Institution
    Dept. of Electr. Eng., Univ. of Texas, Richardson, TX, USA
  • Volume
    11
  • Issue
    5
  • fYear
    2003
  • Firstpage
    457
  • Lastpage
    465
  • Abstract
    A new perceptually motivated approach is proposed for enhancement of speech corrupted by colored noise. The proposed approach takes into account the frequency masking properties of the human auditory system and reduces the perceptual effect of the residual noise. This new perceptual method is incorporated into a frequency-domain speech enhancement method and a subspace-based speech enhancement method. A better power spectrum/autocorrelation function estimator was also developed to improve the performance of the proposed algorithms. Objective measures and informal listening tests demonstrated significant improvements over other methods when tested with TIMIT sentences corrupted by various types of colored noise.
  • Keywords
    correlation methods; data compression; frequency-domain analysis; hearing; matrix algebra; noise; parameter estimation; spectral analysis; speech coding; speech enhancement; speech synthesis; TIMIT sentences; algorithm performance; analysis-by-synthesis speech coders; colored noise corrupted speech; covariance matrix estimation; frequency masking properties; frequency-domain speech enhancement; human auditory system; informal listening tests; objective measures; perceptual weighting matrices; perceptually motivated approach; power spectrum/autocorrelation function estimator; residual noise; subspace-based speech enhancement; Auditory system; Covariance matrix; Frequency; Humans; Masking threshold; Noise reduction; Noise shaping; Speech analysis; Speech coding; Speech enhancement;
  • fLanguage
    English
  • Journal_Title
    Speech and Audio Processing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1063-6676
  • Type

    jour

  • DOI
    10.1109/TSA.2003.815936
  • Filename
    1223595