Speech enhancement using harmonic regeneration

This paper addresses the problem of harmonic distortion that introduced in traditional short time noise suppression methods, especially in low signal-to-noise ratio (SNR) noisy environments. We propose a simple but effective harmonic regeneration method to solve this problem. The full harmonics of the speech are obtained by applying a non-linear function to the enhanced speech after traditional short time noise suppression methods. The artificial signal is then refined by updating the spectral amplitude in three different frequency sub-bands respectively. The algorithm is theoretically analyzed and tried. Both the subjective and objective experiment results show that the harmonic regeneration algorithm can help improve the quality of the enhanced speech.

[1]  Yu Cai,et al.  Harmonic Enhancement with Noise Reduction of Speech Signal by Comb Filtering , 2009, 2009 2nd International Congress on Image and Signal Processing.

[2]  Pascal Scalart,et al.  Speech enhancement using harmonic regeneration , 2005, Proceedings. (ICASSP '05). IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005..

[3]  David Malah,et al.  Speech enhancement using a minimum mean-square error log-spectral amplitude estimator , 1984, IEEE Trans. Acoust. Speech Signal Process..

[4]  E. Ambikairajah,et al.  Subband noise estimation for speech enhancement using a perceptual Wiener filter , 2003, 2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03)..

[5]  S. Boll,et al.  Suppression of acoustic noise in speech using spectral subtraction , 1979 .

[6]  Mohamed A. Deriche,et al.  A robust technique for harmonic analysis of speech , 2001, 2001 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.01CH37221).