Antoine Liutkus
About Antoine Liutkus
Antoine Liutkus is a Research Scientist at Inria, specializing in audio coding and source separation techniques. He has a strong academic background in signal processing and acoustics, with experience in both research and engineering roles.
Work at Inria
Antoine Liutkus has been a Research Scientist at Inria since 2014, contributing to various research initiatives. He has worked in the Montpellier Area and the Région de Nancy, France, for a total of 10 years. His research focuses on high dimensional tensor factorizations and non-parametric stochastic models. Additionally, he has been involved in the analysis and processing of very large datasets at Inria Sophia Antipolis Méditerranée. His work includes the development of low bit-rate multichannel audio coding schemes based on source separation principles.
Education and Expertise
Antoine Liutkus studied at Telecom Paris, where he achieved an ingénieur degree in signal processing from 2001 to 2004. He furthered his education by obtaining a Master ATIAM in Acoustique Traitement du Signal et Informatique Appliqués à la Musique from Université Pierre et Marie Curie (Paris VI) in 2005. His educational background also includes studies at Sainte Geneviève and various high schools, such as Lycée Henri IV and Lycée Jean Monnet in Montpellier. His expertise encompasses audio source separation, tensor factorization, and deep learning methods.
Research Contributions
During his PhD at Telecom Paris, Antoine Liutkus developed new low bit-rate multichannel audio coding schemes based on source separation principles. He conducted postdoctoral research on optical compressed sensing at Institut Langevin in 2013. At Inria, he has re-implemented state-of-the-art methods for audio source separation, including sinusoidal modeling and deep learning techniques. His research also includes high dimensional tensor factorizations and non-parametric stochastic models.
Previous Experience
Before joining Inria, Antoine Liutkus worked as a Research Engineer at Audionamix from 2007 to 2009 in the Région de Paris, France. His role involved applying his expertise in audio processing and source separation. This experience contributed to his foundational knowledge in the field and prepared him for his subsequent research endeavors at Inria.