Multiple TDOA estimation by using a state coherence transform for solving the permutation problem in frequency-domain BSS

@article{Nesta2008MultipleTE,
  title={Multiple TDOA estimation by using a state coherence transform for solving the permutation problem in frequency-domain BSS},
  author={Francesco Nesta and Maurizio Omologo and Piergiorgio Svaizer},
  journal={2008 IEEE Workshop on Machine Learning for Signal Processing},
  year={2008},
  pages={43-48}
}
A novel method to solve the permutation problem for Blind Source Separation (BSS) is presented. According to the acoustic propagation model, in frequency-domain, each separation matrix can be represented with a set of states associated with each source. We formulate a novel transform of the states which is independent of the aliasing and of the permutations since states belonging to all the sources are exploited at the same time. The estimated TDOAs are used to model the propagation of the… CONTINUE READING

Citations

Publications citing this paper.
SHOWING 1-10 OF 13 CITATIONS

Multichannel audio separation by direction of arrival based spatial covariance model and non-negative matrix factorization

  • 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
  • 2014
VIEW 6 EXCERPTS
HIGHLY INFLUENCED

The signal separation evaluation campaign (2007-2010): Achievements and remaining challenges

  • Signal Processing
  • 2012
VIEW 4 EXCERPTS
CITES METHODS & BACKGROUND
HIGHLY INFLUENCED

Direction of Arrival Based Spatial Covariance Model for Blind Sound Source Separation

  • IEEE/ACM Transactions on Audio, Speech, and Language Processing
  • 2014
VIEW 1 EXCERPT
CITES BACKGROUND

An ICA-SCT-PHD Filter Approach for Tracking and Separation of Unknown Time-Varying Number of Sources

  • IEEE Transactions on Audio, Speech, and Language Processing
  • 2013
VIEW 1 EXCERPT
CITES METHODS

Synthesis of ICA-based methods for localization of multiple broadband sound sources

  • 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
  • 2011
VIEW 3 EXCERPTS
CITES METHODS & BACKGROUND