Kepstrum analysis and real-time application to noise cancellation

  • Authors:

  • J. Jeong

  • Affiliations:

  • Faculty of Biomedical Engineering and Health Science, Universiti Teknologi Malaysia, Sudai, Johor, Malaysia

  • Venue:
  • ISPRA'09 Proceedings of the 8th WSEAS international conference on Signal processing, robotics and automation
  • Year:
  • 2009

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Abstract

This paper provides analysis of kepstrum (known elsewhere as complex cepstrum) and its real-time application to noise cancellation. The method uses kepstrum estimation for identification of the ratio of acoustic path transfer functions between two microphones and efficient processing technique for real-time processing. It is applied to the front-end of speech enhancement method, the Griffiths and Jim beamformer. The experiments are processed in real-time by software implementation in LabVIEW. It will be shown that the front-end kepstrum approach effectively cancels echoes and hence reverberation in a noisy environment. For a real-time application, the computational complexity on kepstrum processing has also been investigated and compared with NLMS algorithm of adaptive filter.