Blind separation of underdetermined Convolutive speech mixtures by time-frequency masking with the reduction of musical noise of separated signals

[1]  Thomas Brox,et al.  iPiano: Inertial Proximal Algorithm for Nonconvex Optimization , 2014, SIAM J. Imaging Sci..

[2]  DeLiang Wang,et al.  Supervised Speech Separation Based on Deep Learning: An Overview , 2017, IEEE/ACM Transactions on Audio, Speech, and Language Processing.

[3]  Hiroshi Sawada,et al.  Blind Extraction of Dominant Target Sources Using ICA and Time-Frequency Masking , 2006, IEEE Transactions on Audio, Speech, and Language Processing.

[4]  R. Kumaraswamy,et al.  Detection and separation of the sources from underdetermined instantaneous mixtures without estimating the inverse mixing matrix , 2015, 2015 International Conference on Communications and Signal Processing (ICCSP).

[5]  Zied Lachiri,et al.  Underdetermined blind source separation technique based on speech features extraction , 2016, International Journal of Speech Technology.

[6]  Michael Zibulevsky,et al.  Underdetermined blind source separation using sparse representations , 2001, Signal Process..

[7]  Nima Mesgarani,et al.  Conv-TasNet: Surpassing Ideal Time–Frequency Magnitude Masking for Speech Separation , 2018, IEEE/ACM Transactions on Audio, Speech, and Language Processing.

[8]  K. Scharnhorst,et al.  Angles in Complex Vector Spaces , 1999 .