Expanding creativity
with AI.

We are a team working on the future of AI-assisted music production, located in Paris and Tokyo.

Latest news.

Sony CSL – Paris is happy to announce that our first AI-powered co-creator prototype is now available to the public! Meet Sample Match.
Our new paper ‘PESTO’ has been published & got accepted at ISMIR Conference 2023! PESTO is SOTA in self-supervised pitch estimation, an open source lightweight and efficient model.

AI for Artists.

At Sony Computer Science Laboratories – Paris, we imagine the technology for the music of the next decade, focusing on AI-assisted music production. Our researchers work hand in hand with Sony-affiliated musicians and content creators to understand the complexity of modern music production processes. By combining cutting-edge A.I. research with solid musical expertise, we aim to develop tools that will extend the scope of musicians’ capabilities and push the boundaries of creativity.

Our tools.

Most artists are not specialists in deep learning. Hence, when they want to try our deep learning technology, it is not sufficient to send them some machine code and trained models. It does not meet the criteria of usability and understandability. Therefore, we put a lot of effort into developing prototypes that integrate seamlessly into the production process of music producers. Such prototypes allow them to experiment and experience what AI-assisted music production is about.

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What is Sony CSL?

Founded in 1988, Sony Computer Science Laboratories (Sony CSL) is a leading-edge organization that works to create new research areas and paradigms and new technologies and businesses for the common social good. We find inspiration in developing technologies and businesses that hold great promise of providing a brighter future for all. Initially, Sony CSL focused on fundamental research in computer systems, including operating systems, the Internet, and user interfaces. As the organization evolved, its focus shifted to exploring ways to use computers in diverse domains such as systems biology, econophysics, and artificial intelligence.