Handbook of Mathematical Functions, American Journal of Physics, vol.34, issue.2, 1965. ,
DOI : 10.1119/1.1972842
Blind source separation with non-stationary mixing using wavelets, Int. Conf. Independent Component Analysis and Blind Source Separation (ICA), 2006. ,
On-line timedomain blind source separation of nonstationary convolved signals, Int. Conf. Independent Component Analysis and Blind Source Separation (ICA), 2003. ,
Image method for efficiently simulating small?room acoustics, The Journal of the Acoustical Society of America, vol.65, issue.4, pp.943-950, 1979. ,
DOI : 10.1121/1.382599
On-line blind separation of moving sound sources, Int. Conf. Independent Component Analysis and Blind Source Separation (ICA), 1999. ,
Speaker Diarization: A Review of Recent Research, IEEE Transactions on Audio, Speech, and Language Processing, vol.20, issue.2, pp.356-371, 2012. ,
DOI : 10.1109/TASL.2011.2125954
The fundamental limitation of frequency domain blind source separation for convolutive mixtures of speech, IEEE Transactions on Speech and Audio Processing, vol.11, issue.2, pp.109-116, 2003. ,
DOI : 10.1109/TSA.2003.809193
Underdetermined blind sparse source separation for arbitrarily arranged multiple sensors, Signal Processing, vol.87, issue.8, pp.1833-1847, 2007. ,
DOI : 10.1016/j.sigpro.2007.02.003
Nonnegative matrix factorization and spatial covariance model for under-determined reverberant audio source separation, 10th International Conference on Information Science, Signal Processing and their Applications (ISSPA 2010), 2010. ,
DOI : 10.1109/ISSPA.2010.5605570
URL : https://hal.archives-ouvertes.fr/inria-00541436
Non negative sparse representation for Wiener based source separation with a single sensor, 2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03)., 2003. ,
DOI : 10.1109/ICASSP.2003.1201756
URL : https://hal.archives-ouvertes.fr/inria-00574784
Enforcing Harmonicity and Smoothness in Bayesian Non-Negative Matrix Factorization Applied to Polyphonic Music Transcription, IEEE Transactions on Audio, Speech, and Language Processing, vol.18, issue.3, pp.538-549, 2010. ,
DOI : 10.1109/TASL.2010.2041381
URL : https://hal.archives-ouvertes.fr/inria-00557088
Automatic allocation of NTF components for user-guided audio source separation, 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2016. ,
DOI : 10.1109/ICASSP.2016.7471722
URL : https://hal.archives-ouvertes.fr/hal-01259430
Some Experiments on the Recognition of Speech, with One and with Two Ears, The Journal of the Acoustical Society of America, vol.25, issue.5, pp.975-979, 1953. ,
DOI : 10.1121/1.1907229
Source counting in speech mixtures using a variational EM approach for complex WATSON mixture models, 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2014. ,
DOI : 10.1109/ICASSP.2014.6854924
Under-Determined Reverberant Audio Source Separation Using a Full-Rank Spatial Covariance Model, IEEE Transactions on Audio, Speech, and Language Processing, vol.18, issue.7, pp.1830-1840, 2010. ,
DOI : 10.1109/TASL.2010.2050716
URL : https://hal.archives-ouvertes.fr/inria-00541865
Speech enhancement using a minimum-mean square error short-time spectral amplitude estimator, IEEE Transactions on Acoustics, Speech, and Signal Processing, vol.32, issue.6, pp.443-445, 1984. ,
DOI : 10.1109/TASSP.1984.1164453
A Generative Model for the Joint Registration of Multiple Point Sets, European Conf. Computer Vision (ECCV), 2014. ,
DOI : 10.1007/978-3-319-10584-0_8
URL : https://hal.archives-ouvertes.fr/hal-01019661
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
Signal enhancement using beamforming and nonstationarity with applications to speech, IEEE Transactions on Signal Processing, vol.49, issue.8, pp.1614-1626, 2001. ,
DOI : 10.1109/78.934132
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.455.2627
On the application of the unscented Kalman filter to speech processing, IEEE Int. Workshop Acoustic Echo and Noise Control (IWAENC), 2003. ,
A consolidated perspective on multi-microphone speech enhancement and source separation, IEEE Trans. Audio, Speech, Lang. Process, 2017. ,
DOI : 10.1109/taslp.2016.2647702
URL : https://hal.archives-ouvertes.fr/hal-01414179
On the Use of Latent Mixing Filters in Audio Source Separation of Moving Sound Sources, 13th Int. Conf. on Latent Variable Analysis and Signal Separation (LVA/ICA) IEEE Workshop Applicat. Signal Process. to Audio and Acoust. (WASPAA), 2015. ,
An inverse-gamma source variance prior with factorized parametrization for audio source separation, IEEE Int. Conf. Acoust., Speech, Signal Process. (ICASSP), 2016. ,
A Variational EM Algorithm for the Separation of Time-Varying Convolutive Audio Mixtures, IEEE/ACM Transactions on Audio, Speech, and Language Processing, vol.24, issue.8, pp.1408-1423, 2016. ,
DOI : 10.1109/TASLP.2016.2554286
An EM Algorithm for Joint Source Separation and diarisation of Multichannel Convolutive Speech Mixtures, IEEE Int. Conf. Acoust., Speech, Signal Process. (ICASSP), 2017. ,
URL : https://hal.archives-ouvertes.fr/hal-01430761
Beyond the Narrowband Approximation: Wideband Convex Methods for Under-Determined Reverberant Audio Source Separation, IEEE Transactions on Audio, Speech, and Language Processing, vol.18, issue.7, pp.1818-1829, 2010. ,
DOI : 10.1109/TASL.2010.2050089
URL : https://hal.archives-ouvertes.fr/hal-00435897
Algorithms for non-negative matrix factorization, Advances in Neural Information Process. Systems, pp.556-562, 2001. ,
Multichannel Audio Source Separation With Probabilistic Reverberation Priors, IEEE/ACM Transactions on Audio, Speech, and Language Processing, vol.24, issue.12, 2016. ,
DOI : 10.1109/TASLP.2016.2614140
URL : https://hal.archives-ouvertes.fr/hal-01370051
Online blind source separation based on time-frequency sparseness, 2009 IEEE International Conference on Acoustics, Speech and Signal Processing, 2009. ,
DOI : 10.1109/ICASSP.2009.4959534
Elliset al. Model-based expectation-maximization source separation and localization ,
Subspace tracking of multiple sources and its application to speakers extraction, 2010 IEEE International Conference on Acoustics, Speech and Signal Processing, 2010. ,
DOI : 10.1109/ICASSP.2010.5496044
A Probabilistic Model for Robust Localization Based on a Binaural Auditory Front-End, IEEE Transactions on Audio, Speech, and Language Processing, vol.19, issue.1, pp.1-13, 2011. ,
DOI : 10.1109/TASL.2010.2042128
Robust real-time blind source separation for moving speakers in a room, 2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03)., 2003. ,
DOI : 10.1109/ICASSP.2003.1200008
Sound source separation of moving speakers for robot audition, 2009 IEEE International Conference on Acoustics, Speech and Signal Processing, 2009. ,
DOI : 10.1109/ICASSP.2009.4960426
Proper complex random processes with applications to information theory, IEEE Transactions on Information Theory, vol.39, issue.4, pp.1293-1302, 1993. ,
DOI : 10.1109/18.243446
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.408.1107
Multichannel nonnegative tensor factorization with structured constraints for user-guided audio source separation, 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2011. ,
DOI : 10.1109/ICASSP.2011.5946389
URL : https://hal.archives-ouvertes.fr/inria-00564851
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/hal-00626962
Convolutive blind separation of non-stationary sources, IEEE Transactions on Speech and Audio Processing, vol.8, issue.3, pp.320-327, 2000. ,
DOI : 10.1109/89.841214
The matrix cookbook. Version, 2012. ,
Blind source separation for timevariant mixing systems using piecewise linear approximations ,
DOI : 10.1109/icassp.2005.1416300
A Robust and Precise Method for Solving the Permutation Problem of Frequency-Domain Blind Source Separation, IEEE Transactions on Speech and Audio Processing, vol.12, issue.5, pp.530-538, 2004. ,
DOI : 10.1109/TSA.2004.832994
Grouping Separated Frequency Components by Estimating Propagation Model Parameters in Frequency-Domain Blind Source Separation, IEEE Transactions on Audio, Speech and Language Processing, vol.15, issue.5, pp.1592-1604, 2007. ,
DOI : 10.1109/TASL.2007.899218
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.453.4393
A General Framework for Online Audio Source Separation, Int. Conf. Latent Variable Analysis and Signal Separation, 2012. ,
DOI : 10.1007/978-3-662-04619-7
URL : https://hal.archives-ouvertes.fr/hal-00655398
Non-negative matrix factorization for polyphonic music transcription, 2003 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (IEEE Cat. No.03TH8684), 2003. ,
DOI : 10.1109/ASPAA.2003.1285860
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.475.7518
The Variational Bayes Method in Signal Process, 2006. ,
Linear mixing models for active listening of music productions in realistic studio conditions, Convention of the Audio Engineering Society (AES) 13] V. Y. F. Tan & C. Févotte. Automatic Relevance Determination in Nonnegative Matrix Factorization with the beta-Divergence ,
URL : https://hal.archives-ouvertes.fr/hal-00790783
Multichannel Source Separation and Tracking With RANSAC and Directional Statistics, IEEE/ACM Transactions on Audio, Speech, and Language Processing, vol.22, issue.12, pp.2233-2243, 2014. ,
DOI : 10.1109/TASLP.2014.2365701
An overview of automatic speaker diarization systems, IEEE Transactions on Audio, Speech and Language Processing, vol.14, issue.5, pp.1557-1565, 2006. ,
DOI : 10.1109/TASL.2006.878256
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.471.935
Multistream speaker diarization of meetings recordings beyond MFCC and TDOA features, Speech Communication, vol.54, issue.1 ,
DOI : 10.1016/j.specom.2011.07.001