Artificial intelligence methods for music generation: a review and future perspectives
M Kaliakatsos-Papakostas, A Floros… - … -Inspired Computation and …, 2020 - Elsevier
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 …
interest of researchers since the first days of computing. Music has self-referentiality, ie, does …
Combining LSTM and feed forward neural networks for conditional rhythm composition
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 …
and Long Short-Term Memory (LSTM) neural networks have been extensively used for this …
Evolving structures for electronic dance music
A Eigenfeldt, P Pasquier - Proceedings of the 15th annual conference …, 2013 - dl.acm.org
We present GESMI (Generative Electronica Statistical Modeling Instrument), a software
system that generates Electronic Dance Music (EDM) using evolutionary methods. While …
system that generates Electronic Dance Music (EDM) using evolutionary methods. While …
[PDF][PDF] Generating Structured Drum Pattern Using Variational Autoencoder and Self-similarity Matrix.
Drum pattern generation is a task that focuses on the rhythmic aspect of music and aims at
generating percussive sequences. With the advancement of machine learning techniques …
generating percussive sequences. With the advancement of machine learning techniques …
Interactive music composition driven by feature evolution
Evolutionary music composition is a prominent technique for automatic music generation.
The immense adaptation potential of evolutionary algorithms has allowed the realisation of …
The immense adaptation potential of evolutionary algorithms has allowed the realisation of …
EvoDrummer: Deriving rhythmic patterns through interactive genetic algorithms
MA Kaliakatsos–Papakostas, A Floros… - … on evolutionary and …, 2013 - Springer
Drum rhythm automatic construction is an important step towards the design of systems
which automatically compose music. This work describes a novel mechanism that allows a …
which automatically compose music. This work describes a novel mechanism that allows a …
Conditional drums generation using compound word representations
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 …
specifically with the invention of transformer-based architectures. When using any deep …
Generating drum rhythms through data-driven conceptual blending of features and genetic algorithms
M Kaliakatsos-Papakostas - … Intelligence in Music, Sound, Art and Design …, 2018 - Springer
Conceptual blending allows the emergence of new conceptual spaces by blending two input
spaces. Using conceptual blending for inventing new concepts has been proven a …
spaces. Using conceptual blending for inventing new concepts has been proven a …
Conceptual blending of high-level features and data-driven salience computation in melodic generation
M Kaliakatsos-Papakostas… - Cognitive Systems …, 2019 - Elsevier
Conceptual Blending (CB) theory describes the cognitive mechanisms underlying the way
humans process the emergence of new conceptual spaces by blending two input spaces …
humans process the emergence of new conceptual spaces by blending two input spaces …
Intelligent real-time music accompaniment for constraint-free improvisation
MA Kaliakatsos-Papakostas, A Floros… - 2012 IEEE 24th …, 2012 - ieeexplore.ieee.org
Computational Intelligence encompasses tools that allow the fast convergence and
adaptation to several problems, a fact that makes them eligible for real-time …
adaptation to several problems, a fact that makes them eligible for real-time …