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Speech enhancement using adaptive empirical mode decomposition

Chatlani, N. and Soraghan, J. J. (2009) Speech enhancement using adaptive empirical mode decomposition. In: Digital Signal Processing, 2009 16th International Conference on. IEEE. ISBN 978-1-4244-3297-4

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Abstract

Speech enhancement is performed in a wide and varied range of instruments and systems. In this paper, a novel approach to speech enhancement using adaptive empirical mode decomposition (SEAEMD) is presented. Spectral analysis of non-stationary signals can be performed by employing techniques such as the STFT and the Wavelet transform (WT), which use predefined basis functions. Empirical mode decomposition (EMD) performs very well in such environments. EMD decomposes a signal into a finite number of data-adaptive basis functions, called intrinsic mode functions (IMFs). The new SEAEMD system incorporates this multi-resolution approach with adaptive noise cancellation (ANC) for effective speech enhancement on an IMF level, in stationary and non-stationary noise environments. A comparative performance study is included that compares the competitive method of conventional ANC to the robust SEAEMD system. The results demonstrate that the new system achieves significantly improved speech quality with a lower level of residual noise.

Item type: Book Section
ID code: 30853
Keywords: speech enhancement, adaptive empirical mode decomposition, adaptive filters, frequency, noise cancellation , noise level, signal processing, speech processing, Wavelet transforms, wiener filter, working environment noise, signal denoising, spectral analysis, wavelet transforms, empirical mode decomposition , intrinsic mode function, Electrical engineering. Electronics Nuclear engineering
Subjects: Technology > Electrical engineering. Electronics Nuclear engineering
Department: Faculty of Engineering > Electronic and Electrical Engineering
Related URLs:
    Depositing user: Pure Administrator
    Date Deposited: 06 May 2011 12:43
    Last modified: 09 May 2014 05:21
    URI: http://strathprints.strath.ac.uk/id/eprint/30853

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