Underdetermined Source Separation Using Speaker Subspace Models

@inproceedings{Weiss2009UnderdeterminedSS,
  title={Underdetermined Source Separation Using Speaker Subspace Models},
  author={Ron J. Weiss},
  year={2009}
}
Underdetermined Source Separation Using Speaker Subspace Models 

Similar Papers

Citations

Publications citing this paper.
SHOWING 1-8 OF 8 CITATIONS

Combining localization cues and source model constraints for binaural source separation

VIEW 5 EXCERPTS
CITES RESULTS, BACKGROUND & METHODS
HIGHLY INFLUENCED

A time-frequency preprocessing method for blind source separation of speech signal with temporal structure

  • 2015 10th International Conference on Information, Communications and Signal Processing (ICICS)
  • 2015
VIEW 1 EXCERPT
CITES BACKGROUND

Deep learning for monaural speech separation

  • 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
  • 2014
VIEW 1 EXCERPT
CITES BACKGROUND

References

Publications referenced by this paper.
SHOWING 1-10 OF 123 REFERENCES

Convolutive Speech Bases and Their Application to Supervised Speech Separation

  • IEEE Transactions on Audio, Speech, and Language Processing
  • 2007
VIEW 20 EXCERPTS
HIGHLY INFLUENTIAL

Model-Based Scene Analysis

VIEW 12 EXCERPTS
HIGHLY INFLUENTIAL

Factorial Hidden Markov Models

VIEW 10 EXCERPTS
HIGHLY INFLUENTIAL

EM Localization and Separation using Interaural Level and Phase Cues

  • 2007 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics
  • 2007
VIEW 13 EXCERPTS
HIGHLY INFLUENTIAL

Model-Based Monaural Source Separation Using a Vector-Quantized Phase-Vocoder Representation

  • 2006 IEEE International Conference on Acoustics Speech and Signal Processing Proceedings
  • 2006
VIEW 6 EXCERPTS
HIGHLY INFLUENTIAL