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Antoine Liutkus

Researcher, Inria

18 rue des maréchaux 54000 Nancy, France H +33662227080 B antoine@liutkus.fr born 1981, French

Research interests

Audio filtering and inverse problems

Multi-dimensional and multichannel signal processing

Audio source separation

Multichannel models and filtering

Convolutive and probabilistic mixing models

High-dimensional signal separation

Compressed sensing

Machine Learning

Bayesian modeling for machine learning

Random processes: Gaussian, alpha-stable

Nonnegative tensors factorizations, coupled factorizations

Deep learning, Boltzmann machines

Latent variables models

Source coding Informed source-coding for signal compression

Very long-term structured source models

Rate-distorsion and high-rate theory

Multichannel audio coding

Career

2014–today 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

2010–2012 Ph.D, Telecom Paristech, CNRS LTCI, Paris, France.

2010–2012 Lecturer in signal processing, Engineering schools ESME Sudria, ISEP, Telecom ParisTech, Paris, France.

Signal processing, telecommunications, control, 400 hours

2007–2010 Research engineer,Audionamix, Paris, France.

Blind underdetermined audio source separation, nonnegative matrix/tensor factor-ization, sinusoidal modeling, pitch-synchronous analysis, patents, prototyping

Education

2013 Qualification, for teaching (section 61: signal processing).

2010–2012 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 fac-torization, underdetermined blind separation, deterministic and probabilistic mixing models, source coding

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2004–2005 Master of sciences, Acoustics, Computer Science and Signal Processing applied to Music, IRCAM, Paris, France.

1999–2004 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 2016-2019

• EUSIPCO 2012: TPC chair, August 27-31 2012, 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

Collaborations

Visits • 2015: Northwestern University, USA (Prof. B. Pardo)

• 2014: Bosphorus University, Turkey (Prof. A.T. Cemgil) Collaborator QUAERO, MEMORIES, SARAH, DREAM

Projects KAMoulox (PI, 300ke)

Miscellaneous

Languages • French : native

• English : fluent

• Spanish : fluent

Computing • Programming languages : MATLAB, Python

• LATEX

Publications

Patents

[1] US20100174389,Automatic audio source separation with joint spectral shape, expansion coefficients and musical state estimation, R. Blouet, S.M Aziz Sbai, A. Liutkus, 2009.

[2] US8080724, Automatic gathering strategy for unsupervised source separation algorithms, R. Blouet, S.M Aziz Sbai, A. Liutkus, 2010.

[3] 2966277,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.

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Journal papers

[1] Gaussian Processes for Underdetermined Source Separation, A. Li-utkus, R. Badeau and G. Richard, IEEE Transactions on Signal Processing, 2010.

[2] Informed Source Separation through Spectrogam Coding and Data Embedding, A. Liutkus, J. Pinel, R. Badeau, G. Richard, L. Girin , Signal Processing, 2011.

[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, 2013.

[4] Imaging With Nature: Compressive Imaging Using a Multiply Scat-tering Medium, A. Liutkus et al., Nature scientific reports, 2014.

[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, 2014.

[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, 2015.

[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, 2015.

[8] Alpha-stable matrix factorization,U. Simsekli, A. Liutkus and T. Cemgil, IEEE Signal Processing Letters, 2015.

[9] Projection-based separation of spatial audio,D. Fitzgerald, A. Liutkus and R. Badeau, IEEE Transactions on Audio Speech and Language Processing, 2015.

Book chapters

[1] REPET for Background/Foreground Separation in Audio,Z. Rafii, A. Liutkus, B. Pardo, chapter in Blind Source Separation, Springer 2014.

Conference papers

[1] Separation of Music+Effects Sound Track from Several International Versions of the Same Movie,A. Liutkus, P. Leveau, AES 128th conference, 2010.

[2] Informed Source Separation Using Latent Components, A. Liutkus, R. Badeau, G. Richard, Latent Variable Analysis, LVA/ICA 2010.

[3] Multidimensional Signal Separation with Gaussian Processes, A. Li-utkus, R. Badeau, G. Richard, IEEE Statistical Signal Processing, SSP 2011. [4] Informed Source Separation: Source Coding Meets Source

Separa-tion, A. Ozerov, A. Liutkus, R. Badeau, G. Richard, IEEE Workshop on Applications of Signal Processing to Audio and Acoustics , WASPAA 2011.

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[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 2012.

[7] Adaptive Filtering for Music/Voice Separation Exploiting the Re-peating Musical Structure, A. Liutkus, Z. Rafii, R. Badeau, G. Richard, IEEE Conference on Acoustics, Speech and Signal Processing, ICASSP 2012. [8] Informed Source Separation : a comparative study, A. Liutkus, et al,

European Signal Processing Conference, EUSIPCO 2012.

[9] Spatial Coding-based Informed Source Separation,A. Liutkus, A. Oze-rov, R. Badeau, G. Richard, European Signal Processing Conference, EU-SIPCO 2012.

[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. Li-utkus, R. Badeau, G. Richard, IEEE Conference on Acoustics, Speech and Signal Processing, ICASSP 2013.

[12] Informed source separation from compressed mixtures using spa-tial Wiener filter and quantization noise estimation, S. Zhang, A. Li-utkus, R.Girin, IEEE Conference on Acoustics, Speech and Signal Processing, ICASSP 2013.

[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 2013.

[14] An overview of informed audio source separation,A. Liutkus, J-L. Dur-rieu, G. Richard, IEEE Workshop on Image and Audio Analysis in Multimedia Applications, WIAMIS 2013.

[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 2013.

[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 2014.

[17] Harmonic/Percussive Separation Using Kernel Additive Modelling,

D. Fitzgerald, A. Liutkus, Z. Rafii, B. Pardo, L.Daudet, IET Irish Signals & Systems Conference, 2014.

[18] Perceptual coding-based informed source separation, S. Kirbiz, A. Ozerov, A. Liutkus, L. Girin, European Signal Processing Conference,

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[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 2014.

[20] OOPS: une approche orientée objet pour l’interrogation et l’analyse linguistique de l’interface prosodie/syntaxe/discours,J. Beliao, A. Li-utkus, Congrès Mondial de Linguistique Française, CMLF 2014.

[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 Analy-sis and Signal Separation (LVA/ICA 2015).

[28] Source Separation for Target Enhancement of Food Intake Acous-tics 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, 2012. [2] Listening to features, M. Moussallam, A. Liutkus and L. Daudet, Institut

Langevin, 2014.

[3] Scale-Space peak picking, A. Liutkus, Inria, 2015.

[4] Multichannel audio source separation with deep neural networks,A. Nugraha, A. Liutkus and E. Vincent, Inria, 2015.

References

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