Noise reduction based on adaptive β-order generalized spectral subtraction for speech enhancement

Though spectral subtraction has widely been used for speech enhancement, the spectral order β set in spectral subtraction is generally fixed to some constants, resulting in the performance limitation to a certain degree. In this paper, we first analyze the performance of the β-order generalized spectral subtraction in terms of the gain function to highlight its dependence on the value of spectral order β. Based on the analysis results and considering the non-uniform effect of real-world noise on speech signal, we further propose an adaptive β-order generalized spectral subtraction in which the spectral order β is adaptively updated according to the signal-to-noise ratio in each critical band frame by frame as in a sigmoid function. Experimental results in various noise conditions illustrate the superiority of the proposed method with regard to the traditional spectral subtraction methods.

[1]  Israel Cohen,et al.  Noise spectrum estimation in adverse environments: improved minima controlled recursive averaging , 2003, IEEE Trans. Speech Audio Process..

[2]  Israel Cohen,et al.  Speech enhancement for non-stationary noise environments , 2001, Signal Process..

[3]  Richard M. Schwartz,et al.  Enhancement of speech corrupted by acoustic noise , 1979, ICASSP.

[4]  Junfeng Li,et al.  A noise reduction system based on hybrid noise estimation technique and post-filtering in arbitrary noise environments , 2006, Speech Commun..

[5]  Susanto Rahardja,et al.  /spl beta/-order MMSE spectral amplitude estimation for speech enhancement , 2005, IEEE Transactions on Speech and Audio Processing.

[6]  I. Cohen.  Multi-channel post-filtering in non-stationary noise environments , 2002 .

[7]  Joseph Sylvester Chang,et al.  A parametric formulation of the generalized spectral subtraction method , 1998, IEEE Trans. Speech Audio Process..

[8]  Volker Schless,et al.  SNR-dependent flooring and noise overestimation for joint application of spectral subtraction and model combination , 1998, ICSLP.

[9]  E. Zwicker,et al.  Analytical expressions for critical‐band rate and critical bandwidth as a function of frequency , 1980 .

[10]  Jae Lim,et al.  Evaluation of a correlation subtraction method for enhancing speech degraded by additive white noise , 1978 .

[11]  Jae S. Lim,et al.  Speech enhancement , 1986, ICASSP '86. IEEE International Conference on Acoustics, Speech, and Signal Processing.

[12]  Rainer Martin,et al.  Spectral Subtraction Based on Minimum Statistics , 2001 .

[13]  John H. L. Hansen,et al.  An effective quality evaluation protocol for speech enhancement algorithms , 1998, ICSLP.

[14]  Olivier Cappé,et al.  Elimination of the musical noise phenomenon with the Ephraim and Malah noise suppressor , 1994, IEEE Trans. Speech Audio Process..

[15]  Herman J. M. Steeneken,et al.  Assessment for automatic speech recognition: II. NOISEX-92: A database and an experiment to study the effect of additive noise on speech recognition systems , 1993, Speech Commun..

[17]  VargaAndrew,et al.  Assessment for automatic speech recognition II , 1993 .

[18]  Steven F. Boll.  A spectral subtraction algorithm for suppression of acoustic noise in speech , 1979, ICASSP.

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

[20]  Jan Kybic,et al.  Extended spectral subtraction , 1996, 1996 8th European Signal Processing Conference (EUSIPCO 1996).

[21]  Gerhard Doblinger,et al.  Computationally efficient speech enhancement by spectral minima tracking in subbands , 1995, EUROSPEECH.

[22]  Alexander Fischer,et al.  Quantile based noise estimation for spectral subtraction and Wiener filtering , 2000, 2000 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.00CH37100).

[23]  Yi Hu,et al.  Subjective Comparison of Speech Enhancement Algorithms , 2006, 2006 IEEE International Conference on Acoustics Speech and Signal Processing Proceedings.

[24]  Philipos C. Loizou,et al.  A multi-band spectral subtraction method for enhancing speech corrupted by colored noise , 2002, 2002 IEEE International Conference on Acoustics, Speech, and Signal Processing.

[25]  D. Richard Brown,et al.  Noise Reduction and Increased VAD Accuracy Using Spectral Subtraction , 2003 .