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Noise reduction combining time-frequency epsilon-filter and M-transform.

Tomomi Abe1, Mitsuharu Matsumoto, Shuji Hashimoto

  • 1Major in Pure and Applied Physics, Waseda University, Tokyo, Japan. tomomi@shalab.phys.waseda.ac.jp

The Journal of the Acoustical Society of America
|August 7, 2008
PubMed
Summary

This study introduces a novel noise reduction technique combining time-frequency M-transform (TF M-transform) and TF epsilon-filter to effectively suppress musical noise, improving speech recognition.

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Area of Science:

  • Signal Processing
  • Acoustics
  • Speech Technology

Background:

  • Musical noise is an artifact of time-frequency noise reduction methods, degrading speech recognition.
  • Existing time-domain methods can reduce white and impulse noise but not musical noise effectively.

Purpose of the Study:

  • To develop a noise reduction method specifically targeting musical noise in the time-frequency domain.
  • To improve the M-transform for time-frequency applications and combine it with the epsilon-filter.

Main Methods:

  • The study first reviews time-domain M-transform (TD M-transform) and TD epsilon-filter noise reduction.
  • An improved M-transform for the time-frequency domain (TF M-transform) is proposed.
  • A combined TF epsilon-filter and TF M-transform noise reduction method is developed.

Main Results:

  • The proposed method effectively reduces musical noise, which is problematic for speech recognition.
  • The technique also demonstrates efficacy in reducing high-level non-stationary noise.
  • Experimental results validate the performance of the combined TF epsilon-filter and TF M-transform approach.

Conclusions:

  • The novel combination of TF epsilon-filter and TF M-transform offers a robust solution for musical noise reduction.
  • This approach enhances the performance of noise reduction systems, particularly in speech processing applications.
  • The method shows significant potential for improving the quality and intelligibility of noisy signals.