Many tools for computer-assisted composition contain built-in music-theoretical assumptions that may constrain the output to particular styles. In contrast, this article presents a new musical representation that contains almost no built-in knowledge, but that allows even musically untrained users to generate polyphonic textures that are derived from the user\u27s own initial compositions. This representation, called functional scaffolding for musical composition (FSMC), exploits a simple yet powerful property of multipart compositions: The pattern of notes and rhythms in different instrumental parts of the same song are functionally related. That is, in principle, one part can be expressed as a function of another. Music in FSMC is represe...
In this paper, we explore a generative music method that can compose atonal and tonal music in diffe...
Evolutionary algorithms are studied as tools for generating novel musical material in the form of mu...
Musicology is a growing focus in computer science. Past research has had success in automatically ge...
Many tools for computer-assisted composition contain built-in music-theoretical assumptions that may...
A popular approach to music generation in recent years is to extract rules and statistical relations...
While it is important for systems intended to enhance musical creativity to define and explore music...
While the real-time focus of today\u27s automated accompaniment generators can benefit instrumentali...
This demonstration presents an implementation of a computer-assisted approach to music generation ca...
This paper advances the state of the art for a computer-assisted approach to music generation called...
This demonstration presents MaestroGenesis, a program that helps users create complete polyphonic mu...
This position paper argues that fundamental principles that are exploited to achieve effective music...
The ability of gifted composers like Mozart to create complex multipart musical compositions with re...
The ability of gifted composers like Mozart to create complex multipart musical compositions with re...
We present FCOMP, a system for automatic generation of harmony and accompanying melody. Building on ...
David Samuel We propose a generative model for artificial composition of both classical and popular ...
In this paper, we explore a generative music method that can compose atonal and tonal music in diffe...
Evolutionary algorithms are studied as tools for generating novel musical material in the form of mu...
Musicology is a growing focus in computer science. Past research has had success in automatically ge...
Many tools for computer-assisted composition contain built-in music-theoretical assumptions that may...
A popular approach to music generation in recent years is to extract rules and statistical relations...
While it is important for systems intended to enhance musical creativity to define and explore music...
While the real-time focus of today\u27s automated accompaniment generators can benefit instrumentali...
This demonstration presents an implementation of a computer-assisted approach to music generation ca...
This paper advances the state of the art for a computer-assisted approach to music generation called...
This demonstration presents MaestroGenesis, a program that helps users create complete polyphonic mu...
This position paper argues that fundamental principles that are exploited to achieve effective music...
The ability of gifted composers like Mozart to create complex multipart musical compositions with re...
The ability of gifted composers like Mozart to create complex multipart musical compositions with re...
We present FCOMP, a system for automatic generation of harmony and accompanying melody. Building on ...
David Samuel We propose a generative model for artificial composition of both classical and popular ...
In this paper, we explore a generative music method that can compose atonal and tonal music in diffe...
Evolutionary algorithms are studied as tools for generating novel musical material in the form of mu...
Musicology is a growing focus in computer science. Past research has had success in automatically ge...