Currently available reviews in the area of artificial intelligence-based music generation do
not provide a wide range of publications and are usually centered around comparing very …

Music is a powerful medium for altering the emotional state of the listener. In recent years,
with significant advancements in computing capabilities, artificial intelligence-based (AI …

Neural decoding models can be used to decode neural representations of visual, acoustic,
or semantic information. Recent studies have demonstrated neural decoders that are able to …

The ability of music to evoke activity changes in the core brain structures that underlie the
experience of emotion suggests that it has the potential to be used in therapies for emotion …

Psilocybin is a classic (serotonergic) hallucinogen (“psychedelic” drug) that may occasion
mystical experiences (characterized by a profound feeling of oneness or unity) during acute …

A cluster of research in Affective Computing suggests that it is possible to infer some
characteristics of users' affective states by analyzing their electrophysiological activity in real …

Many of the music generation systems based on neural networks are fully autonomous and
do not offer control over the generation process. In this research, we present a controllable …

Music provides a means of communicating affective meaning. However, the neurological
mechanisms by which music induces affect are not fully understood. Our project sought to …

This work introduces a new music generation system, called AffectMachine-Classical, that is
capable of generating affective Classic music in real-time. AffectMachine was designed to …

Deep learning (DL) and artificial intelligence (AI) are jointly applied to concrete piano
teaching for children to comprehensively promote modern piano teaching and improve the …