On the Assumption of Spherical Symmetry and Sparseness for the Frequency-Domain Speech Model

@article{Lee2007OnTA,
  title={On the Assumption of Spherical Symmetry and Sparseness for the Frequency-Domain Speech Model},
  author={Intae Lee and Te-Won Lee},
  journal={IEEE Transactions on Audio, Speech, and Language Processing},
  year={2007},
  volume={15},
  pages={1521-1528}
}
A new independent component analysis (ICA) formulation called independent vector analysis (IVA) was proposed in order to solve the permutation problem in convolutive blind source separation (BSS). Instead of running ICA in each frequency bin separately and correcting the disorder with an additional algorithmic scheme afterwards, IVA exploited the dependency among the frequency components of a source and dealt with them as a multivariate source by modeling it with sparse and spherically, or… CONTINUE READING
Highly Cited
This paper has 18 citations. REVIEW CITATIONS