With the rapid development of artificial intelligence (AI), music generation has gained
widespread attention. Long short-term memory (LSTM) has advantages in handling time …

Over the past two decades, the utilization of machine learning in audio and music signal
processing has dramatically increased. Nowadays, novel approaches in the fields of Music …

In this paper we survey the methods for control and cre-ative interaction with pre-trained
generative models for au-dio and music. By using reduced (lossy) encoding and sym …

Somax 2 is a multi-agent interactive system performing live machine co-improvisation with
musicians, based on machine-listening, machine-learning, and generative units. The actual …

Somax2 is an artificial intelligence (AI)-based multiagent system for human–machine
“coimprovisation” that generates stylistically coherent streams while continuously listening …

Random walks, fractional Brownian motion and stochastic processes have been used
extensively by composers such as Iannis Xenakis and others, creating instantly …

With the development of intelligent chatbots, humans have found a method to communicate
with artificial digital assistants. However, human beings are able to communicate an …

In this paper, intelligent audio signal processing examples are shortly described. The focus
is, however, on the machine learning approach and datasets needed, especially for deep …

Dicy2 for Max is a suite of Max abstractions which use machine learning for interactive
generation of musical sequences. It can be integrated into musical situations ranging from …

Dicy2 for Live is an Ableton Live plugin using machine learning to interactively generate
sequences in a musical relationship to a real-time analysis of an incoming audio stream. It …