Phase randomization - A new paradigm for single-channel signal enhancement

This paper proposes a new paradigm with phase randomization for single-channel signal enhancement. In contrast to literatures which pursue better target signal quality, the new method tries to minimize artifacts in the residual noise. Applications of signal enhancement are revisited to highlight today's examples where environmental signal is often considered as a part of target and SNR may take a negative value. A signal example demonstrates that conventional signal enhancement with magnitude-only modification is insufficient from both objective and subjective points of view. A new framework with phase randomization as well as a specific algorithm is developed. Enhanced signals show that phase randomization is an integral component for sufficient enhancement. A subjective evaluation result demonstrates that the new paradigm with phase randomization is superior to the magnitude-only enhancement with statistically significant differences.

[1]  Kuldip K. Paliwal,et al.  Role of phase estimation in speech enhancement , 2006, INTERSPEECH.

[2]  Peter Vary,et al.  Noise suppression by spectral magnitude estimation —mechanism and theoretical limits— , 1985 .

[3]  Kuldip K. Paliwal,et al.  On the usefulness of STFT phase spectrum in human listening tests , 2005, Speech Commun..

[4]  Tolga Çiloglu,et al.  Speech enhancement by maintaining phase continuity , 2012, 2012 20th Signal Processing and Communications Applications Conference (SIU).

[5]  Jae S. Lim,et al.  Enhancement and bandwidth compression of noisy speech by estimation of speech and its model parameters. , 1978 .

[6]  Rainer Martin,et al.  On Phase Importance in Parameter Estimation for Single-Channel Source Separation , 2012, IWAENC.

[7]  Ali Bahrami Rad,et al.  Phase spectrum prediction of audio signals , 2012, 2012 5th International Symposium on Communications, Control and Signal Processing.

[8]  Akihiko Sugiyama,et al.  A mechanical-noise suppressor based on a priori noise information for digital still cameras and camcorders , 2011, 2011 IEEE International Conference on Consumer Electronics (ICCE).

[9]  Kuldip K. Paliwal,et al.  Noise driven short-time phase spectrum compensation procedure for speech enhancement , 2008, INTERSPEECH.

[10]  P. Fardkhaleghi,et al.  New approaches to speech enhancement using phase correction in Wiener filtering , 2010, 2010 5th International Symposium on Telecommunications.

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

[12]  Timo Gerkmann,et al.  STFT Phase Improvement for Single Channel Speech Enhancement , 2012, IWAENC.

[13]  Jacob Benesty,et al.  Speech Enhancement , 2010 .

[14]  Kuldip K. Paliwal,et al.  Exploiting Conjugate Symmetry of the Short-Time Fourier Spectrum for Speech Enhancement , 2008, IEEE Signal Processing Letters.

[15]  A.V. Oppenheim,et al.  Enhancement and bandwidth compression of noisy speech , 1979, Proceedings of the IEEE.

[16]  Ephraim Speech enhancement using a minimum mean square error short-time spectral amplitude estimator , 1984 .

[17]  Erfan Loweimi,et al.  On the importance of phase and magnitude spectra in speech enhancement , 2011, 2011 19th Iranian Conference on Electrical Engineering.

[18]  A.V. Oppenheim,et al.  The importance of phase in signals , 1980, Proceedings of the IEEE.

[19]  Akihiko Sugiyama,et al.  An auto-focusing-noise suppressor for cellphone movies based on multiple noise references , 2012, 2012 IEEE International Conference on Consumer Electronics (ICCE).

[20]  Jae S. Lim,et al.  The unimportance of phase in speech enhancement , 1982 .