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G. Farahani, S. M. Ahadi and M. M. Homayounpoor, “Robust Feature Extraction of Speech via Noise Reduction in Autocorrelation Domain,” Lecture Notes in Computer Science 4105, Springer-Verlag, 2006, pp. 466-473.

has been cited by the following article:

• TITLE: Speech Enhancement Using Cross-Correlation Compensated Multi-Band Wiener Filter Combined with Harmonic Regeneration

  AUTHORS: Venkata Rama Rao, Rama Murthy, K. Srinivasa Rao

  KEYWORDS: Speech Enhancement, Wiener Filter, Critical Band and Speech Harmonics

  JOURNAL NAME: Journal of Signal and Information Processing, Vol.2 No.2, May 26, 2011

  ABSTRACT: The speech signal in general is corrupted by noise and the noise signal does not affect the speech signal uniformly over the entire spectrum. An improved Wiener filtering method is proposed in this paper for reducing background noise from speech signal in colored noise environments. In view of nonlinear variation of human ear sensibility in frequency spectrum, nonlinear multi-band Bark scale frequency spacing approach is used. The cross-correlation between the speech and noise signal is considered in the proposed method to reduce colored noise. To overcome harmonic distortion introduced in enhanced speech, in the proposed method regenerate the suppressed harmonics are regenerated. Objective and subjective tests were carried out to demonstrate improvement in the perceptual quality of speeches by the proposed technique.