Geometric source separation: merging convolutive source separation with geometric beamforming

  title={Geometric source separation: merging convolutive source separation with geometric beamforming},
  author={Lucas C. Parra and Christopher V. Alvino},
  journal={IEEE Trans. Speech and Audio Processing},
Blind source separation of broad band signals in a multi-path environment remains a di cult problem. Robustness has been limited due to frequency permutation ambiguities. Increasing the number of sensors allows improved performance but introduces degrees of freedom in the separating lters that are not determined by separation criteria. We propose to further shape the lters and improve the robustness of blind separation by including geometric information such as sensor positions and localized… CONTINUE READING
Highly Influential
This paper has highly influenced 37 other papers. REVIEW HIGHLY INFLUENTIAL CITATIONS
Highly Cited
This paper has 294 citations. REVIEW CITATIONS

From This Paper

Figures, tables, and topics from this paper.


Publications citing this paper.
Showing 1-10 of 193 extracted citations

294 Citations

Citations per Year
Semantic Scholar estimates that this publication has 294 citations based on the available data.

See our FAQ for additional information.


Publications referenced by this paper.
Showing 1-10 of 14 references

Beamforming techniques for spatial ltering," in Digital Signal Procesing Handbook

  • B. Van Veen, K. Buckley
  • 1997
Highly Influential
4 Excerpts

Adaptive Multi-channel Concepts in Acoustics: Blind Signal Separation and Echo Cancellation

  • E D. Schobben
  • Ph.D. thesis,
  • 1999
1 Excerpt

Similar Papers

Loading similar papers…