L. Benaroya, F. Bimbot, and R. Gribonval, Audio source separation with a single sensor, IEEE Transactions on Audio, Speech and Language Processing, vol.14, issue.1, pp.191-199, 2006.
DOI : 10.1109/TSA.2005.854110

URL : https://hal.archives-ouvertes.fr/inria-00544949

N. Duong, E. Vincent, and R. Gribonval, Under-Determined Reverberant Audio Source Separation Using a Full-Rank Spatial Covariance Model, Audio, Speech, and Language Processing, pp.1830-1840, 2010.
DOI : 10.1109/TASL.2010.2050716

URL : https://hal.archives-ouvertes.fr/inria-00435807

A. Cichocki, R. Zdunek, A. H. Phan, and S. Amari, Nonnegative Matrix and Tensor Factorizations: Applications to Exploratory Multiway Data Analysis and Blind Source Separation, 2009.
DOI : 10.1002/9780470747278

W. Cleveland and S. Devlin, Locally Weighted Regression: An Approach to Regression Analysis by Local Fitting, Journal of the American Statistical Association, vol.41, issue.810345, pp.596-610, 1988.
DOI : 10.1080/01621459.1988.10478639

T. Hastie and R. Tibshirani, Generalized Additive Models, Statistical Science, vol.1, issue.3, pp.297-310, 1986.
DOI : 10.1214/ss/1177013604

O. Yilmaz and S. Rickard, Blind Separation of Speech Mixtures via Time-Frequency Masking, IEEE Transactions on Signal Processing, vol.52, issue.7, pp.1830-1847, 2004.
DOI : 10.1109/TSP.2004.828896

D. Barry, B. Lawlor, and E. Coyle, Real-time sound source separation using azimuth discrimination and resynthesis, Proc.of 117th Audio Engineering Society Convention, 2004.

Z. Rafii and B. Pardo, REpeating Pattern Extraction Technique (REPET): A Simple Method for Music/Voice Separation, IEEE Transactions on Audio, Speech, and Language Processing, vol.21, issue.1, pp.71-82, 2013.
DOI : 10.1109/TASL.2012.2213249

D. Fitzgerald, Vocal Separation using Nearest Neighbours and Median Filtering, IET Irish Signals and Systems Conference (ISSC 2012), 2012.
DOI : 10.1049/ic.2012.0225

Z. Rafii and B. Pardo, Music/voice separation using the similarity matrix, FEUP Edições, pp.583-588, 2012.

D. Fitzgerald, Harmonic/percussive separation using median filtering, Proc. of the 13th Int. Conference on Digital Audio Effects (DAFx-10), 2010.

A. Cemgil, P. Peeling, O. Dikmen, and S. Godsill, Prior Structures for Time-Frequency Energy Distributions, 2007 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, pp.151-154, 2007.
DOI : 10.1109/ASPAA.2007.4393007

A. Liutkus, R. Badeau, and G. Richard, Gaussian Processes for Underdetermined Source Separation, IEEE Transactions on Signal Processing, vol.59, issue.7, pp.3155-3167, 2011.
DOI : 10.1109/TSP.2011.2119315

URL : https://hal.archives-ouvertes.fr/hal-00643951

D. Fitzgerald, M. Cranitch, and E. Coyle, On the use of the beta divergence for musical source separation, IET Irish Signals and Systems Conference (ISSC 2009), 2008.
DOI : 10.1049/cp.2009.1711

C. Févotte, N. Bertin, and J. Durrieu, 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

A. Ozerov and C. Févotte, 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

C. Févotte and A. Ozerov, Notes on Nonnegative Tensor Factorization of the Spectrogram for Audio Source Separation: Statistical Insights and Towards Self-Clustering of the Spatial Cues, 7th International Symposium on Computer Music Modeling and Retrieval, 2010.
DOI : 10.1007/978-3-642-23126-1_8

Z. Rafii and B. Pardo, A simple music/voice separation method based on the extraction of the repeating musical structure, 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp.221-224, 2011.
DOI : 10.1109/ICASSP.2011.5946380

A. Liutkus, Z. Rafii, R. Badeau, B. Pardo, and G. Richard, Adaptive filtering for music/voice separation exploiting the repeating musical structure, 2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp.53-56, 2012.
DOI : 10.1109/ICASSP.2012.6287815

URL : https://hal.archives-ouvertes.fr/hal-00945300

T. J. Hastie and R. J. Tibshirani, Generalized additive models, 1990.

A. Ozerov, E. Vincent, and F. Bimbot, A General Flexible Framework for the Handling of Prior Information in Audio Source Separation, Audio, Speech, and Language Processing, p.1, 2011.
DOI : 10.1109/TASL.2011.2172425

URL : https://hal.archives-ouvertes.fr/inria-00536917

E. Gómez, F. Cañadas, J. Salamon, J. Bonada, P. Vera et al., Predominant fundamental frequency estimation vs singing voice separation for the automatic transcription of accompanied flamenco singing, 13th Int. Soc. for Music Info. Retrieval Conf., (Porto, Portugal), 2012.

J. Durrieu, B. David, and G. Richard, A musically motivated midlevel representation for pitch estimation and musical audio source separation, Selected Topics in Signal Processing, pp.1180-1191, 2011.

J. Durrieu and J. Thiran, Musical Audio Source Separation Based on User-Selected F0 Track, Proc. of International Conference on Latent Variable Analysis and Signal Separation, 2012.
DOI : 10.1109/TSA.2005.860342

P. Huang, S. D. Chen, P. Smaragdis, and M. Hasegawa-johnson, Singing-voice separation from monaural recordings using robust principal component analysis, 2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2012.
DOI : 10.1109/ICASSP.2012.6287816

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.294.6722

E. Vincent, R. Gribonval, and C. Févotte, 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

A. Liutkus, J. Pinel, R. Badeau, L. Girin, and G. Richard, Informed source separation through spectrogram coding and data embedding, Signal Processing, vol.92, issue.8, pp.1937-1949, 2012.
DOI : 10.1016/j.sigpro.2011.09.016

URL : https://hal.archives-ouvertes.fr/hal-00643957

E. Vincent, R. Gribonval, and M. Plumbley, Oracle estimators for the benchmarking of source separation algorithms, Signal Processing, vol.87, issue.8, pp.1933-1950, 2007.
DOI : 10.1016/j.sigpro.2007.01.016

URL : https://hal.archives-ouvertes.fr/inria-00545156