• DocumentCode
    32532
  • Title

    Two-microphone subband noise reduction scheme with a new noise subtraction parameter for speech quality enhancement

  • Author

    Aung, Thiri Thandar ; Thumchirdchupong, Hathaichanok ; Tangsangiumvisai, Nisachon ; Nishihara, Akinori

  • Author_Institution
    Dept. of Electr. Eng., Chulalongkorn Univ., Bangkok, Thailand
  • Volume
    9
  • Issue
    2
  • fYear
    2015
  • fDate
    4 2015
  • Firstpage
    130
  • Lastpage
    142
  • Abstract
    An improved subband noise reduction technique is proposed for two-microphone voice communication systems. The technique aims to enhance the speech quality by utilising a subband structure with different noise reduction schemes for different frequency bands. In the low-frequency band where dominant cues of speech spectral components are usually located and the noise signals from the two channels are mainly correlated, the spectral subtraction method, together with a new variable noise subtraction parameter, is employed so that the noise attenuation performance and speech distortion are controllable. In the high-frequency band where less-dominant frequency information of speech spectrum is located, the modified cross-spectral subtraction technique is utilised to remove the high-frequency decorrelated noise spectral components. Extensive comparisons among various noise reduction techniques based on computer simulations demonstrate that the proposed two-microphone subband noise reduction scheme achieves excellent noise attenuation performance while preserving the speech quality.
  • Keywords
    correlation methods; microphones; signal denoising; speech enhancement; microphone subband noise reduction; modified cross-spectral subtraction technique; noise attenuation; signal correlation; spectral subtraction method; speech distortion; speech quality enhancement; speech spectrum; subband noise reduction technique; two-microphone voice communication system; variable noise subtraction parameter;
  • fLanguage
    English
  • Journal_Title
    Signal Processing, IET
  • Publisher
    iet
  • ISSN
    1751-9675
  • Type

    jour

  • DOI
    10.1049/iet-spr.2013.0182
  • Filename
    7088716