Deep learning for symbolic music representations

Néstor Nápoles López (McGill) joins us to discuss his PhD research

Abstract: The talk will discuss the specific challenges of symbolic music representations for deep learning, with a particular emphasis on harmony and tonal analysis (although the methods discussed are applicable to other domains too). Valuable resources will be provided, including access to symbolic music datasets, essential software libraries, effective workflows, and practical insights for symbolic music data manipulation. The talk will also briefly discuss popular papers on the topic, as well as Néstor's research.

NOTE: this event is part of the DL4MIR workshop series (ccrma-mir.github.io); guest speaker talks are open to the broader CCRMA community.