منابع مشابه
Improvised Music with Swarms
This paper describes SWARMUSIC, an interactive music improviser. A particle swarm algorithm is used to generate musical material by a mapping of particle positions onto events in MIDI space. Interaction with an external musical source arises through the attraction of the particle swarm to a target. SWARMUSIC is the first application of swarm intelligence to music.
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The best improvisational theatre actors can make any scene partner, of any skill level or ability, appear talented and proficient in the art form, and thus "make them shine". To challenge this improvisational paradigm, we built an artificial intelligence (AI) trained to perform live shows alongside human actors for human audiences. Over the course of 30 performances to a combined audience of al...
متن کاملA Genetic Algorithm for Generating Improvised Music
Genetic art is a recent art form generated by computers based on the genetic algorithms (GAs). In this paper, the components of a GA embedded into a genetic art tool named AMUSE are introduced. AMUSE is used to generate improvised melodies over a musical piece given a harmonic context. Population of melodies is evolved towards a better musical form based on a fitness function that evaluates ten...
متن کاملAutomatic accompaniment for improvised music
Modern music students practice improvisation playing on top of a software that generates accompaniment, but it does not listen to the musician’s input. Automatic accompaniment systems provide appropriate musical accompaniment to a human player in a given musical context by listening to them. We are interested in developing an AAS. Therefore, the purpose of this project is to build a system that...
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This study presents the first report of Artificial Improvisation, or improvisational theatre performed live, on-stage, alongside an artificial intelligence-based improvisational performer. The Artificial Improvisor is a form of artificial conversational agent, or chatbot, focused on open domain dialogue and collaborative narrative generation. Using stateof-the-art machine learning techniques sp...
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ژورنال
عنوان ژورنال: Securitas Vialis
سال: 2012
ISSN: 1888-9697,1989-1679
DOI: 10.1007/s12615-012-9042-3