Research Journal of Applied Sciences

Year: 2014
Volume: 9
Issue: 5
Page No. 262 - 273

Blind Techniques for Improving Speech Mixtures Using an Adaptive Method

Authors : Jasmine J.C. Sheeja and B. Sankara Gomathi

References

Anderson, M., T. Adali and X.L. Li, 2012. Joint blind source separation with multivariate gaussian model: Algorithms and performance analysis. IEEE Trans. Signal Process., 60: 1672-1683.
CrossRef  |  

Araki, S., R. Mukai, S. Makino, T. Nishikawa and H. Saruwatari, 2003. The fundamental limitation of frequency domain blind source separation for convolutive mixtures of speech. IEEE Trans. Speech Audio Process., 11: 109-116.
CrossRef  |  

Bao, G., Z. Ye, X. Xu and Y. Zhou, 2013. A compressed sensing approach to blind separation of speech mixture based on a two-layer sparsity model. IEEE Trans. Audio Speech Lang. Process., 21: 899-906.
CrossRef  |  Direct Link  |  

Borigsar, K.R. and G.R. Kulkarni, 2010. Simulation and comparative analysis of LMS and RLS algorithms using real time speech input signal. Global J. Res. Eng., 10: 44-47.
Direct Link  |  

Chien, J.T. and H.L. Hsieh, 2012. Convex divergence ICA for blind source separation. IEEE Trans. Audio Speech Lang. Process., 20: 302-313.
CrossRef  |  

Das, S. and K.K. Sarma, 2012. Noise cancellation in stochastic wireless channels using coding and adaptive filtering. Int. J. Comput. Appl., 46: 21-25.

Furuya, K. and A. Kataoka, 2007. Robust speech dereverberation using multichannel blind deconvolution with spectral subtraction. IEEE Trans. Audio Speech Lang. Process., 15: 1579-1591.
CrossRef  |  Direct Link  |  

Gunther, J., 2012. Learning echo paths during continuous double-talk using semi-blind source separation. IEEE Trans. Audio Speech Lang. Process., 20: 646-660.
CrossRef  |  

Habets, E.A.P., S. Gannot, I. Cohen and P.C.W. Sommen, 2008. Joint dereverberation and residual echo suppression of speech signals in noisy environments. IEEE Trans. Audio Speech Lang. Process., 16: 1433-1451.
CrossRef  |  Direct Link  |  

Haque, M.A., T. Islam and K. Hasan, 2011. Robust speech dereverberation based on blind adaptive estimation of acoustic channels. IEEE Trans. Audio Speech Lang. Process., 19: 775-787.
CrossRef  |  

Huang, Y.A., J. Benesty and J. Chen, 2005. A blind channel identification-based two-stage approach to separation and dereverberation of speech signals in a reverberant environment. IEEE Trans. Speech Audio Process., 13: 882-895.
CrossRef  |  Direct Link  |  

Kokkinakis, K. and P.C. Loizou, 2009. Selective-tap blind dereverberation for two-microphone enhancement of reverberant speech. IEEE Signal Process. Lett., 16: 961-964.
CrossRef  |  

Lin, X.S., A.W.H. Khong and P.A. Naylor, 2012. A forced spectral diversity algorithm for speech dereverberation in the presence of near-common zeros. IEEE Trans. Audio Speech Lang. Process., 20: 888-899.
CrossRef  |  

Malik, G. and A.S. Sappal, 2011. Adaptive equalization algorithms: An overview. Int. J. Adv. Comput. Sci. Appl., 2: 62-67.
Direct Link  |  

Nakatani, T., K. Kinoshita and M. Miyoshi, 2007. Harmonicity-based blind dereverberation for single-channel speech signals. IEEE Trans. Audio Speech Lang. Process., 15: 80-95.
CrossRef  |  Direct Link  |  

Nesta, F. and M. Omologo, 2012. Generalized state coherence transform for multidimensional TDOA estimation of multiple sources. IEEE Trans. Audio Speech Lang. Process., 20: 246-260.
CrossRef  |  

Nion, D., K.N. Mokios, N.D. Sidiropoulos and A. Potamianos, 2010. Batch and adaptive PARAFAC-based blind separation of convolutive speech mixtures. IEEE Trans. Audio Speech Lang. Process., 18: 1193-1207.
CrossRef  |  

Sawada, H., R. Mukai, S. Araki and S. Makino, 2004. A robust and precise method for solving the permutation problem of frequency-domain blind source separation. IEEE Trans. Speech Audio Process, 12: 530-538.
CrossRef  |  

Yoshioka, T. and T. Nakatani, 2012. Generalization of multi-channel linear prediction methods for blind MIMO impulse response shortening. IEEE Trans. Audio Speech Lang. Process., 20: 2707-2720.
CrossRef  |  

Zheng, X., C. Ritz and J. Xi, 2013. Collaborative blind source separation using location informed spatial microphones. IEEE Signal Process. Lett., 20: 83-86.
CrossRef  |  Direct Link  |  

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