Bridging the semantic gap in Music Computing (see SMC Challenges) with Machine Learning
and focusing on the study of musical expressivity in Nylon Guitars.

Music Computing Challenges

• Study expressiviity by putting together main involved facets: instrument, performer, music genre.
• Model expressiviity by combining partial information from multiple sources (audio, gesture, ...).
• Design tools for realistic usage.

Machine Learning Challeges

• Managing Multimodal input streams.
• Dealing with multi-scale events.
• Combining Knowledge Intensive and Data Intensive methods.