While recent techniques of digital sound synthesis have put numerous new sounds on the musician's desktop, several artificial-intelligence (AI) techniques have also been applied to algorithmic composition. This article introduces Vox Populi, a system based on evolutionary computation techniques for composing music in real time. In Vox Populi, a population of chords codified according to MIDI protocol evolves through the application of genetic algorithms to maximize a fitness criterion based on physical factors relevant to music. Graphical controls allow the user to manipulate fitness and sound attributes.O TEXTO COMPLETO DESTE ARTIGO, ESTARÁ DISPONÍVEL À PARTIR DE FEVEREIRO DE 2015.1049
this paper, we describe the use of genetic algorithms in composing original music in an evolutionary...
Algorithmic composition is a field that is close to 60 years old, and has seen much research. System...
Interactive Evolutionary Computation (IEC), i.e., Evolutionary Computation whose fitness function is...
Evolution is now considered not only powerful enough to bring about the biological entities as compl...
This paper presents a simple approach for implementing Interactive Evolutionary Computation (IEC) - ...
Computer-assisted algorithmic music composition has achieved great success in the past few decades. ...
In this article we describe an application of Evolutionary Computation to Algorithm Composition. The...
This is a single authored chapter in Applications of Evolutionary Computing. The volume is part of t...
GenOrchestra is a project involving the Dipartimento d’Informatica and Conservatorio di Musica “N. P...
Evolutionary algorithms are studied as tools for generating novel musical material in the form of mu...
Evolutionary Music is one of the more recent areas in the Evolutionary Computation domain where musi...
This paper presents a brief overview of music evolution - western and non-western music - from its ...
Evolutionary algorithms are studied as tools for generating novel musical material in the form of mu...
Traditional Musical Computation Systems had to face the differences between the computational techni...
Algorithmic music composition has long been an active area of research in computer science, but the ...
this paper, we describe the use of genetic algorithms in composing original music in an evolutionary...
Algorithmic composition is a field that is close to 60 years old, and has seen much research. System...
Interactive Evolutionary Computation (IEC), i.e., Evolutionary Computation whose fitness function is...
Evolution is now considered not only powerful enough to bring about the biological entities as compl...
This paper presents a simple approach for implementing Interactive Evolutionary Computation (IEC) - ...
Computer-assisted algorithmic music composition has achieved great success in the past few decades. ...
In this article we describe an application of Evolutionary Computation to Algorithm Composition. The...
This is a single authored chapter in Applications of Evolutionary Computing. The volume is part of t...
GenOrchestra is a project involving the Dipartimento d’Informatica and Conservatorio di Musica “N. P...
Evolutionary algorithms are studied as tools for generating novel musical material in the form of mu...
Evolutionary Music is one of the more recent areas in the Evolutionary Computation domain where musi...
This paper presents a brief overview of music evolution - western and non-western music - from its ...
Evolutionary algorithms are studied as tools for generating novel musical material in the form of mu...
Traditional Musical Computation Systems had to face the differences between the computational techni...
Algorithmic music composition has long been an active area of research in computer science, but the ...
this paper, we describe the use of genetic algorithms in composing original music in an evolutionary...
Algorithmic composition is a field that is close to 60 years old, and has seen much research. System...
Interactive Evolutionary Computation (IEC), i.e., Evolutionary Computation whose fitness function is...