Kepstrum analysis and real-time application to noise cancellation
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 r...
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2009
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my.utm.129152011-07-07T04:33:49Z http://eprints.utm.my/id/eprint/12915/ Kepstrum analysis and real-time application to noise cancellation Jeong, J. Q Science (General) R Medicine (General) 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. World Scientific And Engineering Acad And Soc 2009 Book Section PeerReviewed Jeong, J. (2009) Kepstrum analysis and real-time application to noise cancellation. In: Proceedings of The 8th Wseas International Conference On Recent Advances In Signal Processing, Robotics and Automation. Mathematics and Computers in Science and Engineering . World Scientific And Engineering Acad And Soc, Athens, Grece, pp. 149-154. ISBN 978-960-474-054-3 |
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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. |
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Book Section |
author |
Jeong, J. |
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Jeong, J. |
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Jeong, J. |
title |
Kepstrum analysis and real-time application to noise cancellation |
title_short |
Kepstrum analysis and real-time application to noise cancellation |
title_full |
Kepstrum analysis and real-time application to noise cancellation |
title_fullStr |
Kepstrum analysis and real-time application to noise cancellation |
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Kepstrum analysis and real-time application to noise cancellation |
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kepstrum analysis and real-time application to noise cancellation |
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World Scientific And Engineering Acad And Soc |
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2009 |
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http://eprints.utm.my/id/eprint/12915/ |
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