Handbook of Blind Source Separation: Independent component analysis and applications. Academic press, 2010. ,
URL : https://hal.archives-ouvertes.fr/hal-00460653
From Blind to Guided Audio Source Separation: How models and side information can improve the separation of sound, IEEE Signal Processing Magazine, vol.31, issue.3, pp.107-115, 2014. ,
DOI : 10.1109/MSP.2013.2297440
URL : https://hal.archives-ouvertes.fr/hal-00922378
Survey of sparse and non-sparse methods in source separation, International Journal of Imaging Systems and Technology, vol.47, issue.33, pp.18-33, 2005. ,
DOI : 10.1002/ima.20035
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
Nonnegative matrix and tensor factorizations: applications to exploratory multi-way data analysis and blind source separation, 2009. ,
DOI : 10.1002/9780470747278
Kernel Additive Models for Source Separation, IEEE Transactions on Signal Processing, vol.62, issue.16, pp.4298-4310, 2014. ,
DOI : 10.1109/TSP.2014.2332434
URL : https://hal.archives-ouvertes.fr/hal-01011044
Blind separation of disjoint orthogonal signals: demixing N sources from 2 mixtures, 2000 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.00CH37100), pp.2985-2988, 2000. ,
DOI : 10.1109/ICASSP.2000.861162
Model-Based Monaural Source Separation Using a Vector-Quantized Phase-Vocoder Representation, 2006 IEEE International Conference on Acoustics Speed and Signal Processing Proceedings, pp.957-960, 2006. ,
DOI : 10.1109/ICASSP.2006.1661436
Source/Filter Model for Unsupervised Main Melody Extraction From Polyphonic Audio Signals, IEEE Transactions on Audio, Speech, and Language Processing, vol.18, issue.3, pp.564-575, 2010. ,
DOI : 10.1109/TASL.2010.2041114
Non-negative Hidden Markov Modeling of Audio with Application to Source Separation, Proc. of Int. Conf. on Latent Variable Analysis and Signal Separation, pp.140-148, 2010. ,
DOI : 10.1007/978-3-642-15995-4_18
Computational auditory scene analysis, 1998. ,
Phoneme-dependent NMF for speech enhancement in monaural mixtures, Proc. of Interspeech, pp.1217-1220, 2011. ,
Noise robust distant automatic speech recognition utilizing NMF based source separation and auditory feature extraction, Proc. of CHiME-2013, pp.1-6, 2013. ,
The TUM + TUT + KUL approach to the 2nd CHiME challenge: Multi-stream ASR exploiting BLSTM networks and sparse NMF, Proc. of CHiME-2013, pp.25-30, 2013. ,
The second ‘CHiME’ speech separation and recognition challenge: An overview of challenge systems and outcomes, 2013 IEEE Workshop on Automatic Speech Recognition and Understanding, pp.162-167, 2013. ,
DOI : 10.1109/ASRU.2013.6707723
Discriminatively trained recurrent neural networks for single-channel speech separation, 2014 IEEE Global Conference on Signal and Information Processing (GlobalSIP), pp.577-581, 2014. ,
DOI : 10.1109/GlobalSIP.2014.7032183
Deep neural networks for single channel source separation, 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) ,
DOI : 10.1109/ICASSP.2014.6854299
Blind Signal Decompositions for Automatic Transcription of Polyphonic Music: NMF and K-SVD on the Benchmark, 2007 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '07, pp.65-68, 2007. ,
DOI : 10.1109/ICASSP.2007.366617
URL : https://hal.archives-ouvertes.fr/hal-00945282
Model Order Selection and Cue Combination for Image Segmentation, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, Volume 1 (CVPR'06), pp.1130-1137, 2006. ,
DOI : 10.1109/CVPR.2006.186
Automatic Relevance Determination in Nonnegative Matrix Factorization with the /spl beta/-Divergence, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.35, issue.7, pp.1592-1605, 2013. ,
DOI : 10.1109/TPAMI.2012.240
Bayesian extensions to nonnegative matrix factorisation for audio signal modelling, Proc. of IEEE International Conference on Audio, Speech and Signal Processing (ICASSP), pp.1825-1828, 2008. ,
Multiple-order nonnegative matrix factorization for speech enhancement, Proc. of Interspeech, p.4, 2014. ,
URL : https://hal.archives-ouvertes.fr/hal-01023399
Fusion: General concepts and characteristics, International Journal of Intelligent Systems, vol.9, issue.10, pp.1107-1134, 2001. ,
DOI : 10.1002/int.1052
On combining classifiers, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.20, issue.3, pp.226-239, 1998. ,
DOI : 10.1109/34.667881
A desicion-theoretic generalization of online learning and an application to boosting, Computational learning theory, pp.23-37, 1995. ,
Introducing a simple fusion framework for audio source separation, 2013 IEEE International Workshop on Machine Learning for Signal Processing (MLSP), pp.2013-2014 ,
DOI : 10.1109/MLSP.2013.6661930
URL : https://hal.archives-ouvertes.fr/hal-00846834
Improving model-based convolutive blind source separation techniques via bootstrap, 2014 IEEE Workshop on Statistical Signal Processing (SSP), pp.424-427, 2014. ,
DOI : 10.1109/SSP.2014.6884666
Ensemble learning for speech enhancement, Proc. of IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA), pp.1-4, 2013. ,
Variational Bayesian model averaging for audio source separation, 2014 IEEE Workshop on Statistical Signal Processing (SSP), pp.33-36, 2014. ,
DOI : 10.1109/SSP.2014.6884568
URL : https://hal.archives-ouvertes.fr/hal-00986909
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
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-00544194
Nonlinear programming, Athena Scientific, 1999. ,
Bayesian model averaging: a tutorial, Statistical science, pp.382-401, 1999. ,
Pattern recognition and machine learning, 2006. ,
Deterministic annealing variant of variational Bayes method An interior trust region approach for nonlinear minimization subject to bounds, Journal of Physics: Conference Series, pp.418-445, 1996. ,
Deep Neural Networks for Acoustic Modeling in Speech Recognition: The Shared Views of Four Research Groups, IEEE Signal Processing Magazine, vol.29, issue.6, pp.82-97, 2012. ,
DOI : 10.1109/MSP.2012.2205597
On rectified linear units for speech processing, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing, pp.3517-3521, 2013. ,
DOI : 10.1109/ICASSP.2013.6638312
Learning representations by back-propagating errors, Nature, vol.85, issue.6088, pp.533-536, 1986. ,
DOI : 10.1038/323533a0
An Online Backpropagation Algorithm with Validation Error-Based Adaptive Learning Rate, Artificial Neural Networks, pp.249-258, 2007. ,
DOI : 10.1007/978-3-540-74690-4_26
Discriminative pretraining of deep neural networks, 2011. ,
Theano: a CPU and GPU math expression compiler, Proc. of the Python for Scientific Computing Conference (SciPy), 2010. ,
Theano: new features and speed improvements, Proc. of Workshop on Deep Learning and Unsupervised Feature Learning (NIPS), 2012. ,
The second ‘chime’ speech separation and recognition challenge: Datasets, tasks and baselines, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing, pp.2013-126 ,
DOI : 10.1109/ICASSP.2013.6637622
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
Musical source separation using time-frequency source priors, IEEE Transactions on Audio, Speech and Language Processing, vol.14, issue.1, pp.91-98, 2006. ,
DOI : 10.1109/TSA.2005.860342
URL : https://hal.archives-ouvertes.fr/inria-00544269
Comparison of frequency-warped representations for source separation of stereo mixtures, Proc. of Audio Engineering Society Convention, 2006. ,
Bayesian nonparametric matrix factorization for recorded music, Proc. of International Conference on Machine Learning (ICML), pp.439-446, 2010. ,
Variational Bayesian inference for source separation and robust feature extraction, Inria, 2012. ,
Insights into Audio-Based Multimedia Event Classification with Neural Networks, Proceedings of the 2015 Workshop on Community-Organized Multimodal Mining: Opportunities for Novel Solutions , MMCommons'15, pp.19-23, 2015. ,
DOI : 10.1145/2814815.2814816
A Musically Motivated Mid-Level Representation for Pitch Estimation and Musical Audio Source Separation, IEEE Journal of Selected Topics in Signal Processing, vol.5, issue.6, pp.1180-1191, 2011. ,
DOI : 10.1109/JSTSP.2011.2158801
Singing-voice separation from monaural recordings using robust principal component analysis, 2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp.2012-57 ,
DOI : 10.1109/ICASSP.2012.6287816
Music/voice separation using the similarity matrix, Proc. of International Symposium on Music Information Retrieval (ISMIR), pp.583-588, 2012. ,
Algorithms for non-negative matrix factorization, Advances in Neural Information Processing Systems, pp.556-562, 2001. ,
Variational Bayesian model selection for mixture distributions, Proc. of the 8th International Workshop on Artificial Intelligence and Statistics, pp.27-34, 2001. ,
The variational Bayesian EM algorithm for incomplete data: with application to scoring graphical model structures, Proc. of Valencia International Meeting on Bayesian Statistics, pp.453-462, 2002. ,