F-SEONS: a second-order frequency-domain algorithm for noisy convolutive source separation

We present a frequency-domain method of noisy convolutive source separation, where we extend the SEONS algorithm (Choi et al. (2002)) that jointly exploits the nonstationarity and temporal structure of sources. Thus, the method is called F-SEONS, implying frequency-domain SEONS. Unlike most of the existing methods of convolutive source separation, we consider the case of noisy data and show that our F-SEONS algorithm identifies multivariate FIR channels in a robust way. In addition, we employ an H/sub /spl infin// filtering method in order to further suppress the sensor noise. Numerical experiments compared to other methods confirm the high performance of our proposed method.

[1]  Eric Moulines,et al.  A blind source separation technique using second-order statistics , 1997, IEEE Trans. Signal Process..

[2]  Kari Torkkola,et al.  Blind separation of convolved sources based on information maximization , 1996, Neural Networks for Signal Processing VI. Proceedings of the 1996 IEEE Signal Processing Society Workshop.

[3]  Nikolaos Mitianoudis,et al.  Audio source separation of convolutive mixtures , 2003, IEEE Trans. Speech Audio Process..

[4]  Paris Smaragdis,et al.  Blind separation of convolved mixtures in the frequency domain , 1998, Neurocomputing.

[5]  Lucas C. Parra,et al.  Convolutive blind separation of non-stationary sources , 2000, IEEE Trans. Speech Audio Process..

[6]  Xuemin Shen,et al.  A dynamic system approach to speech enhancement using the H∞ filtering algorithm , 1999, IEEE Trans. Speech Audio Process..

[7]  Andrzej Cichocki,et al.  Second Order Nonstationary Source Separation , 2002, J. VLSI Signal Process..

[8]  Ki Yong Lee,et al.  Efficient recursive estimation for speech enhancement in colored noise , 1996, IEEE Signal Processing Letters.

[9]  최승진.  Multichannel signal separation for cocktail party speech recognition: A dynamic recurrent network , 2000 .

[10]  Kuldip K. Paliwal,et al.  A speech enhancement method based on Kalman filtering , 1987, ICASSP '87. IEEE International Conference on Acoustics, Speech, and Signal Processing.

[11]  R. Lambert.  Multichannel blind deconvolution: FIR matrix algebra and separation of multipath mixtures , 1996 .