A nonlocally weighted soft-constrained natural gradient algorithm for blind separation of reverberant speech

Jack Xin Meng Yu Yingyong Qi Hsin-I Yang Fan-Gang Zeng

Geometric Modeling and Processing mathscidoc:1912.43893

81-84, 2009.10
A nonlocally weighted soft-constrained natural gradient iterative method is introduced for robust blind separation in reverberant environment. The nonlocal weighting of the iterations promotes stability and convergence of the algorithm for long demixing filters. The scaling degree of freedom is controlled by soft-constraints built into the auxiliary difference equations. The small divisor problem of iterations in silence durations of speech is resolved. Computations on synthetic speech mixtures based on measured binaural room impulse responses show that the algorithm achieves higher signal-to-inteference ratio improvement than existing method (natural gradient time domain algorithm) in an office size room with reverberation time over 0.5 second.
No keywords uploaded!
[ Download ] [ 2019-12-24 21:05:05 uploaded by Jack_Xin ] [ 348 downloads ] [ 0 comments ]
@inproceedings{jack2009a,
  title={A nonlocally weighted soft-constrained natural gradient algorithm for blind separation of reverberant speech},
  author={Jack Xin, Meng Yu, Yingyong Qi, Hsin-I Yang, and Fan-Gang Zeng},
  url={http://archive.ymsc.tsinghua.edu.cn/pacm_paperurl/20191224210505328066457},
  pages={81-84},
  year={2009},
}
Jack Xin, Meng Yu, Yingyong Qi, Hsin-I Yang, and Fan-Gang Zeng. A nonlocally weighted soft-constrained natural gradient algorithm for blind separation of reverberant speech. 2009. pp.81-84. http://archive.ymsc.tsinghua.edu.cn/pacm_paperurl/20191224210505328066457.
Please log in for comment!
 
 
Contact us: office-iccm@tsinghua.edu.cn | Copyright Reserved