Speech enhancement using adaptive empirical mode decomposition

N. Chatlani, J. J. Soraghan

Research output: Chapter in Book/Report/Conference proceedingConference contribution book

5 Citations (Scopus)

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.
Original languageEnglish
Title of host publicationDigital Signal Processing, 2009 16th International Conference on
PublisherIEEE
Number of pages6
ISBN (Print)978-1-4244-3297-4
DOIs
Publication statusPublished - 5 Jul 2009
Event16th International Conference on Digital Signal Processing (DSP 2009) - Santorini, Greece
Duration: 5 Jul 20097 Jul 2009

Conference

Conference16th International Conference on Digital Signal Processing (DSP 2009)
CitySantorini, Greece
Period5/07/097/07/09

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

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  • Cite this

    Chatlani, N., & Soraghan, J. J. (2009). Speech enhancement using adaptive empirical mode decomposition. In Digital Signal Processing, 2009 16th International Conference on IEEE. https://doi.org/10.1109/ICDSP.2009.5201120