Audio source separation using a redundant library of source spectral bases for non-negative tensor factorization

Mahmoud Fakhry, Piergiorgio Svaizer, Maurizio Omologo. Audio source separation using a redundant library of source spectral bases for non-negative tensor factorization. In 2015 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2015, South Brisbane, Queensland, Australia, April 19-24, 2015. pages 251-255, IEEE, 2015. [doi]

@inproceedings{FakhrySO15,
  title = {Audio source separation using a redundant library of source spectral bases for non-negative tensor factorization},
  author = {Mahmoud Fakhry and Piergiorgio Svaizer and Maurizio Omologo},
  year = {2015},
  doi = {10.1109/ICASSP.2015.7177970},
  url = {http://dx.doi.org/10.1109/ICASSP.2015.7177970},
  researchr = {https://researchr.org/publication/FakhrySO15},
  cites = {0},
  citedby = {0},
  pages = {251-255},
  booktitle = {2015 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2015, South Brisbane, Queensland, Australia, April 19-24, 2015},
  publisher = {IEEE},
  isbn = {978-1-4673-6997-8},
}