The signal separation evaluation campaign Achievements and remaining challenges, Signal Processing, vol.92, issue.8, 1928. ,
URL : https://hal.archives-ouvertes.fr/inria-00579398
A General Flexible Framework for the Handling of Prior Information in Audio Source Separation, IEEE Transactions on Audio, Speech, and Language Processing, vol.20, issue.4, pp.1118-1133, 2012. ,
DOI : 10.1109/TASL.2011.2172425
URL : https://hal.archives-ouvertes.fr/inria-00536917
Separation by “humming”: User-guided sound extraction from monophonic mixtures, 2009 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, pp.69-72, 2009. ,
DOI : 10.1109/ASPAA.2009.5346542
Musical Audio Source Separation Based on User-Selected F0 Track, Lecture Notes in Computer Science, vol.14, issue.1, pp.438-445, 2012. ,
DOI : 10.1109/TSA.2005.860342
A simple user interface system for recovering patterns repeating in time and frequency in mixtures of sounds, 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp.271-275, 2015. ,
DOI : 10.1109/ICASSP.2015.7177974
URL : https://hal.archives-ouvertes.fr/hal-01116689
User assisted separation using tensor factorisation, 20th European Signal Processing Conference (EU- SIPCO 2012), pp.2412-2416, 2012. ,
Textinformed audio source separation using nonnegative matrix partial co-factorization, Proc. Int. Workshop on Machine Learning for Signal Processing (MLSP), 2013. ,
URL : https://hal.archives-ouvertes.fr/hal-01010602
On-the-fly audio source separation, 2014 IEEE International Workshop on Machine Learning for Signal Processing (MLSP), p.2014 ,
DOI : 10.1109/MLSP.2014.6958922
URL : https://hal.archives-ouvertes.fr/hal-01023221
ISSE, Proceedings of the 32nd annual ACM conference on Human factors in computing systems, CHI '14, 2014. ,
DOI : 10.1145/2556288.2557253
Structured non-negative matrix factorization with sparsity patterns, 2008 42nd Asilomar Conference on Signals, Systems and Computers, 2008. ,
DOI : 10.1109/ACSSC.2008.5074714
Musical audio stream separation, 2009. ,
Multichannel nonnegative tensor factorization with structured constraints for user-guided audio source separation, 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp.257-260, 2011. ,
DOI : 10.1109/ICASSP.2011.5946389
URL : https://hal.archives-ouvertes.fr/inria-00564851
Semi-supervised NMF with time-frequency annotations for singlechannel source separation, the Proceedings of the International Society for Music Information Retrieval (ISMIR), 2012. ,
An efficient posterior regularized latent variable model for interactive source separation Temporal annotation-based audio source separation using weighted nonnegative matrix factorization, Proc. Int. Conf. on Machine Learning (ICML) IEEE International Conference on Consumer Electronics, 2013. ,
An interactive audio source separation framework based on non-negative matrix factorization, 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2014. ,
DOI : 10.1109/ICASSP.2014.6853861
URL : https://hal.archives-ouvertes.fr/hal-00960717
A convex formulation for informed source separation in the single channel setting, Neurocomputing, vol.141, pp.26-36, 2014. ,
DOI : 10.1016/j.neucom.2013.12.053
Informed source separation from monaural music with limited binary time-frequency annotation, 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2015. ,
DOI : 10.1109/ICASSP.2015.7178017
Nonnegative Matrix Factorization with the Itakura-Saito Divergence: With Application to Music Analysis, Neural Computation, vol.14, issue.3, pp.793-830, 2009. ,
DOI : 10.1016/j.sigpro.2007.01.024
Algorithms for non-negative matrix factorization, Advances in Neural Information Processing 13 (NIPS'2000), 2001. ,
Multichannel Nonnegative Matrix Factorization in Convolutive Mixtures for Audio Source Separation, IEEE Transactions on Audio, Speech, and Language Processing, vol.18, issue.3, pp.550-563, 2010. ,
DOI : 10.1109/TASL.2009.2031510
Compressive samplingbased informed source separation, IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, 2015. ,
URL : https://hal.archives-ouvertes.fr/hal-01171833
Sparse NMF? half-baked or well done?, Tech. Rep, 2015. ,
Performance measurement in blind audio source separation, IEEE Transactions on Audio, Speech and Language Processing, vol.14, issue.4, pp.1462-1469, 2006. ,
DOI : 10.1109/TSA.2005.858005
URL : https://hal.archives-ouvertes.fr/inria-00544230