Speech Enhancement Based on Speech/Noise-Dominant Decision

  • YOON Sukhyun
    Multimedia Processing Laboratory, Korea Advanced Institute of Science and Technology (KAIST)
  • YOO Chang D.
    Multimedia Processing Laboratory, Korea Advanced Institute of Science and Technology (KAIST)

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Description

In this paper, a novel method to reduce additive time-varying noise is proposed. Unlike the previous methods, the proposed method requires neither the assumption about noise nor the estimate of the noise statistics from any pause regions. The enhancement is performed on a band-by-band basis for each time frame. Based on both the decision on whether a particular band in a frame is speech or noise dominant and the masking property of the human auditory system, an appropriate amount of noise is reduced in time-frequency domain using modified spectral subtraction. The proposed method was tested on various noisy conditions: car noise, F16 noise, white Gaussian noise, pink noise, tank noise and babble noise. On the basis of segmental SNR, inspection of spectrograms and MOS tests, the proposed method was found to be more effective than spectral subtraction with and without pause detection [1], [15], [16] in reducing noise while minimizing distortion to speech.

Journal

  • IEICE Trans. Inf. Syst.

    IEICE Trans. Inf. Syst. 85 (4), 744-750, 2002-04-01

    The Institute of Electronics, Information and Communication Engineers

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Details 詳細情報について

  • CRID
    1571417127442430336
  • NII Article ID
    110003219991
  • NII Book ID
    AA10826272
  • ISSN
    09168532
  • Text Lang
    en
  • Data Source
    • CiNii Articles

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