Antoine Liutkus Researcher, Inria

Transcription

1 Antoine Liutkus Researcher, Inria 18 rue des maréchaux Nancy, France born 1981, French Audio filtering and inverse problems Machine Learning Source coding 2014 today Research interests Multi-dimensional and multichannel signal processing Audio source separation Multichannel models and filtering Convolutive and probabilistic mixing models High-dimensional signal separation Compressed sensing Bayesian modeling for machine learning Random processes: Gaussian, alpha-stable Nonnegative tensors factorizations, coupled factorizations Deep learning, Boltzmann machines Latent variables models Informed source-coding for signal compression Very long-term structured source models Rate-distorsion and high-rate theory Multichannel audio coding Career Permanent researcher, Inria, LORIA, Nancy, France. Music source separation, speech processing 2013 Postdoc, Institut Langevin, ESPCI, Paris, France. Compressed sensing, sparsity, optics in turbid media Ph.D, Telecom Paristech, CNRS LTCI, Paris, France Lecturer in signal processing, Engineering schools ESME Sudria, ISEP, Telecom ParisTech, Paris, France. Signal processing, telecommunications, control, 400 hours Research engineer, Audionamix, Paris, France. Blind underdetermined audio source separation, nonnegative matrix/tensor factorization, sinusoidal modeling, pitch-synchronous analysis, patents, prototyping Education 2013 Qualification, for teaching (section 61: signal processing) Ph.D, Informed Source Separation, Supervised by Gaël Richard and Roland Badeau, Telecom Paristech, CNRS LTCI, Institut Mines-Telecom, France. Multidimensional signal separation of Gaussian processes, nonnegative tensors factorization, underdetermined blind separation, deterministic and probabilistic mixing models, source coding

2 Master of sciences, Acoustics, Computer Science and Signal Processing applied to Music, IRCAM, Paris, France Engineering school, Telecom ParisTech, Paris, France. Computer science, signal processing, mathematics, probability theory 1999 Baccalauréat (french high-school diploma), with honors. Scientific service Committees IEEE Audio and Acoustic Signal Processing Technical Committee EUSIPCO 2012: TPC chair, August , Bucharest, Romania, special session organization on informed source separation SiSEC: Chair for the music separation (2015), general chair (2017) Reviewing journals : IEE TSP SPL TASLP, Signal Processing, Digital Signal Processing conferences: ICASSP, EUSIPCO, MLSP, ISMIR, DAFx, ACMM, LVA/ICA Tutorial ICASSP 2014: informed source separation Collaborator Collaborations Visits 2015: Northwestern University, USA (Prof. B. Pardo) 2014: Bosphorus University, Turkey (Prof. A.T. Cemgil) Projects QUAERO, MEMORIES, SARAH, DREAM KAMoulox (PI, 300ke) Miscellaneous Languages French : native English : fluent Spanish : fluent Computing Programming languages : MATLAB, Python L A TEX Publications Patents [1] US , Automatic audio source separation with joint spectral shape, expansion coefficients and musical state estimation, R. Blouet, S.M Aziz Sbai, A. Liutkus, [2] US , Automatic gathering strategy for unsupervised source separation algorithms, R. Blouet, S.M Aziz Sbai, A. Liutkus, [3] , Procédé et dispositif de formation d un signal mixé numérique audio, procédé et dispositif de séparation de signaux, et signal correspondant, L. Girin, A. Liutkus, R. Badeau, G. Richard, 2012.

3 Journal papers [1] Gaussian Processes for Underdetermined Source Separation, A. Liutkus, R. Badeau and G. Richard, IEEE Transactions on Signal Processing, [2] Informed Source Separation through Spectrogam Coding and Data Embedding, A. Liutkus, J. Pinel, R. Badeau, G. Richard, L. Girin, Signal Processing, [3] Coding-based Informed Source Separation : Nonnegative Tensor Factorization Approach, A. Ozerov, A. Liutkus, R. Badeau, G. Richard, IEEE Transactions on Audio Speech and Language Processing, [4] Imaging With Nature: Compressive Imaging Using a Multiply Scattering Medium, A. Liutkus et al., Nature scientific reports, [5] Kernel Additive Models for Source Separation, A. Liutkus and D. Fitzgerald and Z. Rafii and B. Pardo and L. Daudet, IEEE Transactions on Signal Processing, [6] Random Calibration for Accelerating MR-ARFI Guided Ultrasonic Focusing in Transcranial Therapy, N. Liu, A. Liutkus, J.-F. Aubry, L. Marsac, M. Tanter, L. Daudet, Physics in Medicine and Biology, [7] Reference-less measurement of the transmission matrix of a highly scattering material using a DMD and phase retrieval techniques, A. Dremeau, A. Liutkus, D. Martina, O. Katz, C. Schulke, F. Krzakala, S. Gigan, L. Daudet, Optics Express, [8] Alpha-stable matrix factorization, U. Simsekli, A. Liutkus and T. Cemgil, IEEE Signal Processing Letters, [9] Projection-based separation of spatial audio, D. Fitzgerald, A. Liutkus and R. Badeau, IEEE Transactions on Audio Speech and Language Processing, Book chapters [1] REPET for Background/Foreground Separation in Audio, Z. Rafii, A. Liutkus, B. Pardo, chapter in Blind Source Separation, Springer Conference papers [1] Separation of Music+Effects Sound Track from Several International Versions of the Same Movie, A. Liutkus, P. Leveau, AES 128 th conference, [2] Informed Source Separation Using Latent Components, A. Liutkus, R. Badeau, G. Richard, Latent Variable Analysis, LVA/ICA [3] Multidimensional Signal Separation with Gaussian Processes, A. Liutkus, R. Badeau, G. Richard, IEEE Statistical Signal Processing, SSP [4] Informed Source Separation: Source Coding Meets Source Separation, A. Ozerov, A. Liutkus, R. Badeau, G. Richard, IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, WASPAA 2011.

4 [5] Linear mixing models for active listening of music productions in realistic studio conditions, N. Sturmel, A. Liutkus, J. Pinel, L. Girin, S. Marchand, G. Richard, R. Badeau, L. Daudet, 132nd AES Convention, best peer-reviewed paper award. [6] Probabilistic Model for Main Melody Extraction Using Constant-Q Transform, B. Fuentes, A. Liutkus, R. Badeau, G. Richard, IEEE Conference on Acoustics, Speech and Signal Processing, ICASSP [7] Adaptive Filtering for Music/Voice Separation Exploiting the Repeating Musical Structure, A. Liutkus, Z. Rafii, R. Badeau, G. Richard, IEEE Conference on Acoustics, Speech and Signal Processing, ICASSP [8] Informed Source Separation : a comparative study, A. Liutkus, et al, European Signal Processing Conference, EUSIPCO [9] Spatial Coding-based Informed Source Separation, A. Liutkus, A. Ozerov, R. Badeau, G. Richard, European Signal Processing Conference, EU- SIPCO [10] Analysis of Dance Movements Using Gaussian Processes, A. Liutkus, A. Dremeau, D. Alexiadis, S. Essid, P. Daras, ACM Multimedia 2012 Grand Challenge. [11] Low bitrate informed Source Separation of realistic mixtures, A. Liutkus, R. Badeau, G. Richard, IEEE Conference on Acoustics, Speech and Signal Processing, ICASSP [12] Informed source separation from compressed mixtures using spatial Wiener filter and quantization noise estimation, S. Zhang, A. Liutkus, R.Girin, IEEE Conference on Acoustics, Speech and Signal Processing, ICASSP [13] Non-negative matrix factorization for single-channel EEG artifact rejection, C. Damon, A. Liutkus, A. Gramfort, S. Essid, IEEE Conference on Acoustics, Speech and Signal Processing, ICASSP [14] An overview of informed audio source separation, A. Liutkus, J-L. Durrieu, G. Richard, IEEE Workshop on Image and Audio Analysis in Multimedia Applications, WIAMIS [15] Non-negative Tensor Factorization for Single-Channel EEG Artifact Rejection, C. Damon, A. Liutkus, A. Gramfort, S. Essid, IEEE International Workshop on Machine Learning for Signal Processing, MLSP [16] Kernel Spectrogram models for source separation, A. Liutkus, Z. Rafii, B. Pardo, D. Fitzgerald, L.Daudet, IEEE Workshop on Hands-free Speech Communication and Microphone Arrays, HSCMA [17] Harmonic/Percussive Separation Using Kernel Additive Modelling, D. Fitzgerald, A. Liutkus, Z. Rafii, B. Pardo, L.Daudet, IET Irish Signals & Systems Conference, [18] Perceptual coding-based informed source separation, S. Kirbiz, A. Ozerov, A. Liutkus, L. Girin, European Signal Processing Conference, EU- SIPCO 2014.

5 [19] Compressed sensing under strong noise. Application to imaging through multiply scattering media, A. Liutkus, D. Martina, S. Gigan, L. Daudet, European Signal Processing Conference, EUSIPCO [20] OOPS: une approche orientée objet pour l interrogation et l analyse linguistique de l interface prosodie/syntaxe/discours, J. Beliao, A. Liutkus, Congrès Mondial de Linguistique Française, CMLF [21] Kernel Additive Modeling for interference reduction in multichannel music recordings, T. Prätzlich, R. Bittner, A. Liutkus, M. Müller, IEEE Conference on Acoustics, Speech and Signal Processing (ICASSP 2015). [22] Generalized Wiener filtering with fractional power spectrograms, A. Liutkus and R. Badeau, IEEE Conference on Acoustics, Speech and Signal Processing (ICASSP 2015). [23] Scalable audio separation with light Kernel Additive Modelling, A. Liutkus, D. Fitzgerald and Z. Rafii, IEEE Conference on Acoustics, Speech and Signal Processing (ICASSP 2015). [24] A simple user interface system for recovering patterns repeating in time and frequency in mixtures of sounds, Z. Rafii, A. Liutkus and B. Pardo, IEEE Conference on Acoustics, Speech and Signal Processing (ICASSP 2015). [25] A simple user interface system for recovering patterns repeating in time and frequency in mixtures of sounds, Z. Rafii, A. Liutkus and B. Pardo, IEEE Conference on Acoustics, Speech and Signal Processing (ICASSP 2015). [26] The 2015 Signal Separation Evaluation Campaign., N. Ono, Z. Rafii, D. Kitamura, N. Ito and A. Liutkus, Latent Variable Analysis and Signal Separation (LVA/ICA 2015). [27] Extraction of Temporal Patterns in Multi-rate and Multi-modal Datasets, A. Liutkus, U. Simsekli and T. Cemgil, Latent Variable Analysis and Signal Separation (LVA/ICA 2015). [28] Source Separation for Target Enhancement of Food Intake Acoustics from Noisy Recordings, A. Liutkus, T. Olubanjo, E. Moore and M. Ghovanloo, IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA 2015). [29] Cauchy Nonnegative Matrix Factorization, A. Liutkus, D. Fitzgerald and R. Badeau, IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA 2015). Technical reports [1] Analysis of dance movements using Gaussian processes, A. Liutkus, A. Dremeau, D. Alexiadis, S. Essid and P. Daras, Telecom PariTech, [2] Listening to features, M. Moussallam, A. Liutkus and L. Daudet, Institut Langevin, [3] Scale-Space peak picking, A. Liutkus, Inria, [4] Multichannel audio source separation with deep neural networks, A. Nugraha, A. Liutkus and E. Vincent, Inria, 2015.