The fundamental limitation of frequency domain blind source separation for convolutive mixtures of speech
暂无分享,去创建一个
[1] Kazuya Takeda,et al. Evaluation of blind signal separation method using directivity pattern under reverberant conditions , 2000, 2000 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.00CH37100).
[2] Shun-ichi Amari,et al. Natural Gradient Works Efficiently in Learning , 1998, Neural Computation.
[3] Te-Won Lee,et al. Independent Component Analysis , 1998, Springer US.
[4] J. Cardoso,et al. Blind beamforming for non-gaussian signals , 1993 .
[5] Shiro Ikeda,et al. A METHOD OF ICA IN TIME-FREQUENCY DOMAIN , 2003 .
[6] Kazuya Takeda,et al. Blind source separation combining frequency-domain ICA and beamforming , 2001, 2001 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.01CH37221).
[7] Dennis R. Morgan,et al. Exploring permutation inconsistency in blind separation of speech signals in a reverberant environment , 2000, 2000 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.00CH37100).
[8] Meir Feder,et al. Multi-channel signal separation by decorrelation , 1993, IEEE Trans. Speech Audio Process..
[9] Paris Smaragdis,et al. Blind separation of convolved mixtures in the frequency domain , 1998, Neurocomputing.
[10] Shoko Araki,et al. Fundamental limitation of frequency domain blind source separation for convolutive mixture of speech , 2001, 2001 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.01CH37221).
[11] Dirk Van Compernolle,et al. Signal separation by symmetric adaptive decorrelation: stability, convergence, and uniqueness , 1995, IEEE Trans. Signal Process..
[12] Shoko Araki,et al. Separation and dereverberation performance of frequency domain blind source separation for speech in a reverberant environment , 2001, INTERSPEECH.
[13] Terrence J. Sejnowski,et al. An Information-Maximization Approach to Blind Separation and Blind Deconvolution , 1995, Neural Computation.
[14] Reinhold Orglmeister,et al. Blind source separation of real world signals , 1997, Proceedings of International Conference on Neural Networks (ICNN'97).
[15] Shoko Araki,et al. Equivalence between frequency domain blind source separation and frequency domain adaptive null beamformers , 2001, INTERSPEECH.
[16] Lucas C. Parra,et al. Convolutive blind separation of non-stationary sources , 2000, IEEE Trans. Speech Audio Process..