Machines incorporating techniques from artificial intelligence and machine learning can
work with human users on a moment-to-moment, real-time basis to generate creative …

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 …

Musical co-creativity aims at making humans and computers collaborate to compose music.
As an MIR team in computational musicology, we experimented with co-creativity when …

This paper describes the background and motivations behind the author's electroacoustic
game-pieces Pathfinder (2016) and ICARUS (2019), designed specifically for his …

Creative behavior is one of the most fascinating areas in intelligence. The development of
specific styles is the most characteristic feature of creative behavior. All important creators …

Live performances of music are always charming, with the unpredictability of improvisation
due to the dynamic between musicians and interactions with the audience. Jazz …

We report a practice-based exploration of developing and performing with an autonomous
AI musician called LOERIC that improvises folk tunes in response to a human partner. We …

Musebots are autonomous musical agents that interact with other musebots to produce
music. Inaugurated in 2015, musebots are now an established practice in the field of musical …

Human creators are often nourished from explicit knowledge while developing their own
styles with creation, and such knowledge often comprises a multi-layered or certain much …