Add to ORKGOur system generates a class of musical works. It does so without human intervention by using Lorenz attractors at multiple time scales to construct several time series for controlling sound synthesis parameters. It is implemented with Python, SuperCollider, and Open Sound Control. An indefinite number of works can be autonomously generated, yet each is unique: each exhibits unique musical form globally and unique sonic transformations locally. We discuss the system in the context of (1) Laske's composition theory and (2) phenomenological perspectives on chaos and self-similarity
Using chaos theory to design novel audio synthesis engines has been explored little in computer musi...
cote interne IRCAM: Bresson05aNone / NoneNational audienceThis paper presents current works and futu...
Abstract. We present a time domain approach to explore a sound transformation paradigm for musical p...
Our system generates a class of musical works. It does so without human intervention by using Lorenz...
Autonomous instruments are computer programmes that generate music algorithmically and without realt...
A body of scientific/mathematical theory arising from a description of the behavior of complex dynam...
https://aimc2023.pubpub.org/pub/7zvfxnal “Organic Algorithmic Composition” is not just a musical co...
The goal of this project is to produce a software musical instrument using chaotic processes as a so...
In this paper, we initially present an algorithm for automatic composition of melodies using chaotic...
The seemingly mystical ability of music to evoke feelings and images has fascinated man since times ...
The application of emergent behavior of multi-agent system to musical creation, such as controlling ...
In this article we have outlined a formal framework for an abstract approach to music and music comp...
Techniques for algorithmic musical composition or generative music working directly with the frequen...
David Samuel We propose a generative model for artificial composition of both classical and popular ...
This paper presents an algorithmic composition technique derived from Markov chain modeling, which ...
Using chaos theory to design novel audio synthesis engines has been explored little in computer musi...
cote interne IRCAM: Bresson05aNone / NoneNational audienceThis paper presents current works and futu...
Abstract. We present a time domain approach to explore a sound transformation paradigm for musical p...
Our system generates a class of musical works. It does so without human intervention by using Lorenz...
Autonomous instruments are computer programmes that generate music algorithmically and without realt...
A body of scientific/mathematical theory arising from a description of the behavior of complex dynam...
https://aimc2023.pubpub.org/pub/7zvfxnal “Organic Algorithmic Composition” is not just a musical co...
The goal of this project is to produce a software musical instrument using chaotic processes as a so...
In this paper, we initially present an algorithm for automatic composition of melodies using chaotic...
The seemingly mystical ability of music to evoke feelings and images has fascinated man since times ...
The application of emergent behavior of multi-agent system to musical creation, such as controlling ...
In this article we have outlined a formal framework for an abstract approach to music and music comp...
Techniques for algorithmic musical composition or generative music working directly with the frequen...
David Samuel We propose a generative model for artificial composition of both classical and popular ...
This paper presents an algorithmic composition technique derived from Markov chain modeling, which ...
Using chaos theory to design novel audio synthesis engines has been explored little in computer musi...
cote interne IRCAM: Bresson05aNone / NoneNational audienceThis paper presents current works and futu...
Abstract. We present a time domain approach to explore a sound transformation paradigm for musical p...