Single channel source separation using smooth Nonnegative Matrix Factorization with Markov Random Fields

Minje Kim, Paris Smaragdis. Single channel source separation using smooth Nonnegative Matrix Factorization with Markov Random Fields. In IEEE International Workshop on Machine Learning for Signal Processing, MLSP 2013, Southampton, United Kingdom, September 22-25, 2013. pages 1-6, IEEE, 2013. [doi]

@inproceedings{KimS13-28,
  title = {Single channel source separation using smooth Nonnegative Matrix Factorization with Markov Random Fields},
  author = {Minje Kim and Paris Smaragdis},
  year = {2013},
  doi = {10.1109/MLSP.2013.6661909},
  url = {http://dx.doi.org/10.1109/MLSP.2013.6661909},
  researchr = {https://researchr.org/publication/KimS13-28},
  cites = {0},
  citedby = {0},
  pages = {1-6},
  booktitle = {IEEE International Workshop on Machine Learning for Signal Processing, MLSP 2013, Southampton, United Kingdom, September 22-25, 2013},
  publisher = {IEEE},
}