Curriculum Vitae

University Degrees

2013:HDR (Habilitation) Computer Science, University of Pierre and Mairie Curie, Paris VI,France.
1990-1993:Dr.-Ing. Computer Science, Technical University of Berlin, Germany
1983-1990

Dipl.-Ing. Electrical Engineering, University of Hanover, Germany

WORK

01.2017- :Research director, IRCAM
01.2011- : Team Leader, Analysis Synthesis Team, IRCAM
01.2008-12.2011 :Adjoint Team Leader, Analysis Synthesis team IRCAM
10.2000-12.2007 :Researcher and Developer, Analysis-Synthesis Team IRCAM
04.2006-07.2006 :Edgar Varese Guest Professor, Electronic Studio, Technical University of Berlin
04.2000-09.2000 :Invited researcher, Center for Computer Research in Music and Acoustics (CCRMA), Stanford University, USA
01.1996-09.2000 : Assistent Professor, Communication Science, Technical University of Berlin
08.1994-12.1995 :PostDoc, GMD FIRST, Berlin.

Projects

2020-2024:H2020 project AI4Media, Deep learning for media production
2020-2023:ANR project ARS, Analysis and tRansformation of Singing style
2017-2022:H2020/ERC project IRiMaS, Interactive Research in Music as Sound. Conseil and collaboration on signal processing methods for music analysis.
2018-2021:ANR Project TheVoice, Voice creation for media content production. Supervision of PhD thesis on deep learning-based voice conversion.
2014-2017:ANR Project Chanter, Real-time controlled digital singing. Coordination of WP2 on text to chant synthesis
2012-2015:ANR Project Physis, Physically informed and semantically controllable interactive sound synthesis. Coordination of WP3 on low level sound representation
2011-2015:FP7-ICT-2011 Project 3DTVS, 3DTV Content Search. Coordination of WP4 3D Audio & Multi Modal Content Analysis and Description.
2010-2013:ANR Project Sample Orchestrator II Hybrid Sound Processing and Interactive Arrangement for New Generation Samplers. Coordination of WP2 Structured Instrument Models and Signal Transformations
2000-2000:DFG Project Ref RO2277/1-1 : Adaptive additive synthesis of non-stationary sounds. Research scholarship at CCRMA

PhD Students

Directed

2021-Lenny Renault, Deep learning-based generation of high-quality music from symbolic music representation.
2019-Frederic Bous, Voice Synthesis and Transformation with DNN
2019-Yann Teytaut, Speech and Singing Alignment and Style analysis with DNN
2019-Antoine Lavault, Drum synthesis with DNN
2019-Clement Le Moine Veillon, Expressive speech transformation with DNN
2018-Rafael Ferro,Voice Conversion with DNN
2016-2019Hugo Caracalla, Sound texture synthesis from summary statistics, Sorbonne University, 2019
2016-2019Céline Jacques, Machine learning methods for drum transcription (in French), Sorbonne University, 2019
2014-2017Luc Ardaillon, Synthesis and expressive transformation of singing voice, UPMC, 2017
2012-2015Wei-Hsiang Liao, Modelling and transformation of sound textures and environmental sounds, UPMC, 2015. co directed with X. Rodet (IRCAM) and A.Su (NCKU Taiwan)
2011-2015Stefan Huber, High quality voice conversion by modelling and transformation of extended voice characteristics, UPMC 2015, co-directed with Xavier Rodet
2012-2015Henrik Hahn, Expressive sampling synthesis: Learning extended Source-Filter models from Instrument sound databases for expressive sample manipulations, UPMC 2015, co directed wih X. Rodet

Supervised

2009-2012Marco Liuni, Automatic adaptation of sound analysis and synthesis, UPMC, 2012, PhD directors X. Rodet and M.Romito 
2006-2010Fernando Villavicencio, High quality voice conversion, UPMC 2010, PhD director X. Rodet
2007-2010Gilles Degottex, Glottal source and vocal-tract separation, UPMC 2010, PhD director X. Rodet
2003-2008Chunghsin Yeh, Multiple fundamental frequenc estiation of polypohnic recordings, UPMC 2008, PhD director X. Rodet.

PhD/HDR Jury

2022Javier Nistal (PhD), Exploring Generative Adversarial Networks for Controllable Musical Audio Synthesis (Examiner)
2020Muhammad Huzaifah (PhD), Directed Audio Texture Synthesis With Deep Learning (Reporter and examiner)
2020Alexandre Defossez (PhD), Optimization of fast deep learning models for audio analysis and synthesis. (Reporter and examiner)
2019Alexey Ozerov (HDR), Contributions in audio modeling for solving inverse problems: Source separation, compression, and inpainting, (Reporter and examiner)
2019Alice Cohen-Hadria (PhD), Estimation de Descriptions musicales et sonore par apprentissage profond, (Examiner)
2019Clément Laroche (PhD), Apprentissage de dictionnaire et décomposition orthogonal pour la séparation de sources harmoniques/percussives, PhD, (Examiner)
2017Benjamin Cohen-Lhyver (PhD), Modulation de mouvements de tête pour l'analyse multimodale d'un envirnonnement inconnu, PhD, (Examiner)
2013Ricard Marxer (PhD), Audio source separation for music in low-latency and high-latency scenarios, (Reporter and examiner)
2013Saso Musevic (PhD), Non-stationary sinusoidal analysis, (Reporter and examiner)
2013Alexis Moinet, (PhD) Slowdio: Audio time-scaling for slow motion sports videos, PhD, (Examiner)


Publications

Articles and Thesis

Reports and working papers