Applying artificial intelligence (AI) methods for music generation has been attracting the
interest of researchers since the first days of computing. Music has self-referentiality, ie, does …

We present a comprehensive survey on the topic of sound and music composition using
interactive evolutionary computation (IEC). After explaining the fundamentals of IEC and …

Algorithmic music composition has long been in the spotlight of music information research
and Long Short-Term Memory (LSTM) neural networks have been extensively used for this …

We present GESMI (Generative Electronica Statistical Modeling Instrument), a software
system that generates Electronic Dance Music (EDM) using evolutionary methods. While …

Abstract Machine learning has shown a successful component of methods for automatic
music composition. Considering music as a sequence of events with multiple complex …

Evolutionary music composition is a prominent technique for automatic music generation.
The immense adaptation potential of evolutionary algorithms has allowed the realisation of …

Abstract We present GESMI (Generative Electronica Statistical Modeling Instrument)–a
computationally creative music generation system that produces Electronic Dance Music …

An important part of electronic dance music (EDM) is the so-called beat. It is defined by the
drum track of the piece and is a style defining element. While producing EDM, creating the …

The field of automatic music composition has seen great progress in recent years,
specifically with the invention of transformer-based architectures. When using any deep …

Drum tracks for electronic dance music are a central and style-defining element. But creating
them can be a cumbersome task because of a lack of appropriate tools and input devices …