There has been a significant amount of work implementing systems for algorithmic
composition with the intention of targeting specific emotional responses in the listener, but a …

This paper proposes an approach to generate emotional music using Interactive Genetic
Algorithm. Performance rules are described by the KTH rule system. Different emotional …

The automatic control of emotional expression in music is a challenge that is far from being
solved. This paper describes research conducted with the aim of developing a system with …

Affective algorithmic composition is a growing field that combines perceptually motivated
affective computing strategies with novel music generation. This article presents work toward …

Empathy is a learnable skill that requires experiential learning and practice of empathic
ability for it to improve and mature. In the context of human-system interaction (HSI) this can …

Data-centric affect modeling may render itself restrictive in practical applications for three
reasons, namely, it falls short of feature optimization, infers discrete affect classes, and deals …

AI technology is supporting and assisting humans at in increasing speed and in various
ways. In music, a massive number of technological solutions and software applications are …

This paper aims to investigate the temporal development of heartbeat intervals in a transition
of different sound stimuli. In the listening experiment, two minutes relaxing musical piece …

When genetic algorithms (GA) are used to produce music, the results are limited by a fitness
bottleneck problem. To create effective music, the GA needs to be thoroughly trained by …

As the scale of quantitative change in the construction of Japanese online open courses in
domestic universities has been initially formed, the course construction work urgently needs …