Significant progress has been made in symbolic music generation with the help of deep
learning techniques. However, the tasks covered by symbolic music generation have not …

The utilization of deep learning techniques in generating various contents (such as image,
text, etc.) has become a trend. Especially music, the topic of this paper, has attracted …

Computational Creativity is a multidisciplinary field that tries to obtain creative behaviors
from computers. One of its most prolific subfields is that of Music Generation (also called …

Artificial Intelligence of the next generation needs to interact with users socially, convincing
them in its ability to understand human minds, including emotions. For this to happen, an …

This paper presents a deep reinforcement learning algorithm for online accompaniment
generation, with potential for real-time interactive human-machine duet improvisation …

Music is a common element in almost all video games. Most music in games is written by a
human composer, and played as a linear piece behind gameplay. Adaptive and/or …

The present work aims to improve students' interest in music teaching and promote modern
teaching. A distributed application system of artificial intelligence gesture interactive robot is …

Music generation using deep learning has received considerable attention in recent years.
Researchers have developed various generative models capable of imitating musical …

A techno-cognitive look at how new technologies are shaping the future of
musicking.“Musicking” encapsulates both the making of and perception of music, so it …

In this paper, we identify new relationships between technologies and people in the context
of digital fabrication. Our research applies a postphenomenological lens to understand and …