Discussions

Hearing the Human: Machine Learning in Music Production

In modern music production, our seemingly unlimited options are both a blessing and a curse. With huge creative potential comes an equally huge number of creative choices. Machine learning promises to help, but what does it really do, and where can it fit into the production process?

This event brings three artist-researchers together to discuss how they are applying machine learning techniques to their creative work. Where do these tools make sense in music production, and what can we reasonably expect from them? Where can AI save us time and energy, and what are the inherent creative tradeoffs? What new workflows and timbres are possible? How can we package these complex systems from research science for music makers? And looking forward, where do we go from here?

Participants

Jules LaPlace

Jules LaPlace

Jules LaPlace is a programmer and musician based in Berlin, creating artwork and conducting research with machine learning and data sonification.

LANDR

LANDR

LANDR is a pioneering AI-powered online mastering service, which uses a specially designed algorithm to automate the engineering process.

Leigh Smith

Leigh Smith

Dr Leigh M. Smith is a New York-based computer scientist and software developer specializing in music perception, cognition and music information retrieval (MIR). He is currently a senior research engineer at AI-powered online mastering service LANDR.

Shelly Knotts

Shelly Knotts

Shelly Knotts is a musician, improviser and programmer based in Newcastle upon Tyne, UK.