This survey documents representation approaches for classification across different
modalities, from purely content-based methods to techniques utilizing external sources of …

Although music is typically multi-label, many works have studied hierarchical music tagging
with simplified settings such as single-label data. Moreover, there lacks a framework to …

Instrument activity detection is a fundamental task in music information retrieval, serving as a
basis for many applications, such as music recommendation, music tagging, or remixing …

This thesis focuses on representation learning for sequence data over time or space, aiming
to improve downstream sequence prediction tasks by using the learned representations …

Acoustic Event Detection (AED) has been of great interest for nearly a decade for diverse
applications. Most open datasets contain meta information on the hierarchy of labels, which …

Composers of music can express emotions and communicate with their audience in a
multitude of ways. They decide on which voices or instruments to use, arrange notes into …