Music streaming platforms are currently among the main sources of music consumption, and
the embedded recommender systems significantly influence what the users consume. There …

The particularities of musical data and its multiple modalities make original contributions
possible in many core RecSys topics such as content-based and hybrid recommendation …

Instrument recognition is a fundamental task in music information retrieval, yet little has been
done to predict the presence of instruments in multi-instrument music for each time frame …

Recently, there has been a surge in Artificial Intelligence (AI) tools that allow creators to
develop melodies, harmonies, lyrics, and mixes with the touch of a button. The reception of …

Software tools for generating digital sound often present users with high-dimensional,
parametric interfaces, that may not facilitate exploration of diverse sound designs. In this …

This paper has two different aims: presenting the problem of target-based computer-assisted
orchestration and introducing a new computational framework to solve it, called Orchidea …

This paper is about the story of my relationship, as a contemporary music composer, with
computational tools that are situated in the areas of signal processing, machine learning and …

This tutorial introduces multimedia recommender systems (MMRS), in particular,
recommender systems that leverage multimedia content to recommend different media …

Searching through a large audio database for a specific sound can be a slow and tedious
task with detrimental effects on creative workflow. Listening to each sample is time …

We advance Mixmash-AIS, a multimodal optimization music mashup creation model for loop
recombination at scale. Our motivation is to (1) tackle current scalability limitations in state-of …