Event News

Onsite talk on "Music creation with Deep Learning Techniques" by Prof. Jean-Pierre Briot, The LIP6, Sorbonne University

We are pleased to announce to you that Professor Prof.Jean-Pierre.Briot from LIP6, Sorbonne University will give a talk at NII.
You are most welcome to come and join us.


Music creation with deep learning techniques: Achievements and challenges


A growing application area for the current wave of deep learning (the return of artificial neural networks on steroids) is the generation of creative content, notably the case of music (and also images and text). The motivation is in using machine learning techniques to automatically learn musical styles from arbitrary musical corpora and then to generate musical samples from the estimated distribution, with some degree of control over the generation.
In this talk, we will survey some recent achievements in deep-learning-based music generation, using recent and dedicated generative architectures such as VAE, GAN and Transformer, analyze principles, successes as well as challenges, including the limits of automated generation versus providing assistance to human musicians.


Prof. Jean-Pierre Briot
Professor, The LIP6, Sorbonne University and French National Center for Scientific Research


Jean-Pierre Briot is a senior researcher (research director) in computer science at LIP6, joint computer science research lab of CNRS (Centre National de la Recherche Scientifique) and Sorbonne Université in Paris, France. He is also permanent visiting professor at PUC-Rio in Rio de Janeiro, Brazil. His general research interests are about the design of intelligent adaptive and cooperative software, at the crossing of artificial intelligence, distributed systems and software engineering, with various application fields such as internet of things, decision support systems and computer music. His current interest is focused on the use of AI techniques (notably deep learning-based) within music creation processes. He is the main author of a recent reference book about deep learning techniques for music generation (Springer, 2020).
Jean-Pierre Briot holds a master in mathematics (1980), a doctorship (PhD) in computer science (1984) and an "Habilitation à diriger des recherches" in computer science (1989), all from Université Pierre et Marie Curie (aka Paris VI, since 2018 renamed/merged as Sorbonne Université). He also holds degrees in music, music acoustics and Japanese language. He has been visiting Professor or visiting researcher in various institutions such as: Federal University of the State of Rio de Janeiro (UNIRIO), Kyoto University (Kyodai), Pontifical University Catholic of Rio de Janeiro (PUC-Rio), Tokyo Institute of Technology (TIT), University of Illinois at Urbana-Champaign (UIUC), University of Southern California (USC), University of Tokyo (Todai). He has advised or co-advised about 30 PhD students and about 20 master students. He has edited 12 books or journal special issues. In 2010, he has created the CNRS permanent representation office in Rio de Janeiro, for scientific cooperation with Southern America, that he has directed for 5 years.


11:00-12:00 / Wednesday, November 2nd, 2022


Venue:Room 1316 at National Institute of Informatics (National Center of Sciences)
If you would like to attend, send an email to the address below:
Email:yiyu [at] nii.ac.jp


Yi Yu - Digital Content and Media Sciences Research Division, NII