Current Residencies

AIO


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Alberto Carretero Aguado
Artistic research oriented to compose a new project using the technical and expressive possibilities of AIO.
Alberto Carretero Aguado

Alberto Carretero studied Composition and Piano at the Higher Music Conservatory of Seville with Extraordinary Award. He holds the degrees of Computer Science Engineer, Musicology, Journalism, Master and PhD in Music Composition.He has received prizes such as INJUVE Composition Award, Cajamadrid Award, “G.Abril” Orchestra Award, Real Maestranza Award, etc. His music has been presented at IRCAM, Darmstadt, SWR-ExperimentalStudio, Carnegie Hall (New York), Centre Pompidou (Paris), San Fedele (Milan), National Music Auditorium (Madrid), etc.He has worked with the Ensemble Recherche, Ensemble Intercontemporain, L'Instant Donné, Real Orquesta Sinfónica de Sevilla, Meitar Ensemble, Neopercusión, Plural Ensemble, etc.

Composing music and sound with bio-inspired techniques of Artificial Intelligence

Alberto Carretero would like to propose a new project of music composition using deeply the AIO technology. He is interested in the compositional, technical and expressive tools of this technology to develop the concepts of bio-inspired techniques of Artificial Intelligence in his music for acoustic, electroacoustic instruments ant the involved performers. The idea is to create a new piece for instruments, electronics and visuals involving a research on the concepts of Artificial Intelligence applied to the Music, that is, exploring all the parameters of this discipline and relate them to the compositional variables such as the movement, velocities, sound gestures, articulation of form and so on. He would like to explore the possible relationships with this technology and other research fields such as bio-inspired music composition, and continue the work on spatialization systems that surround the audience. Alberto has already worked in other projects with some of this systems. The format could be a \"concert piece\" or even a complete show, performance, installation or other flexible musical formats.

AIO

The project uses advanced Natural Language Analysis, Deep Learning and Artificial Intelligence technologies and functionalities to extract structured information and knowledge from a variety of sources like articles, websites, social media, images, books, online discussions and more. This is done in multiple languages (currently 29), and on large amounts of data and content, obtaining big data which needs to be analyzed in order to extract meaning from it, in ways which are useful for policymaking.

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Composing music and sound with bio-inspired techniques of Artificial Intelligence
Alberto Carretero Aguado
Artistic research oriented to compose a new project using the technical and expressive possibilities of AIO.
musiccomputer-aided compositionArtificial Intelligencesoundscapes
The artwork

Alberto Carretero would like to propose a new project of music composition using deeply the AIO technology. He is interested in the compositional, technical and expressive tools of this technology to develop the concepts of bio-inspired techniques of Artificial Intelligence in his music for acoustic, electroacoustic instruments ant the involved performers. The idea is to create a new piece for instruments, electronics and visuals involving a research on the concepts of Artificial Intelligence applied to the Music, that is, exploring all the parameters of this discipline and relate them to the compositional variables such as the movement, velocities, sound gestures, articulation of form and so on. He would like to explore the possible relationships with this technology and other research fields such as bio-inspired music composition, and continue the work on spatialization systems that surround the audience. Alberto has already worked in other projects with some of this systems. The format could be a \"concert piece\" or even a complete show, performance, installation or other flexible musical formats.

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About the artist
Alberto Carretero Aguado

Alberto Carretero studied Composition and Piano at the Higher Music Conservatory of Seville with Extraordinary Award. He holds the degrees of Computer Science Engineer, Musicology, Journalism, Master and PhD in Music Composition.He has received prizes such as INJUVE Composition Award, Cajamadrid Award, “G.Abril” Orchestra Award, Real Maestranza Award, etc. His music has been presented at IRCAM, Darmstadt, SWR-ExperimentalStudio, Carnegie Hall (New York), Centre Pompidou (Paris), San Fedele (Milan), National Music Auditorium (Madrid), etc.He has worked with the Ensemble Recherche, Ensemble Intercontemporain, L'Instant Donné, Real Orquesta Sinfónica de Sevilla, Meitar Ensemble, Neopercusión, Plural Ensemble, etc.

The technology
Composing music and sound with bio-inspired techniques of Artificial Intelligence

Artistic research oriented to compose a new project using the technical and expressive possibilities of AIO.

About the residency

The project uses advanced Natural Language Analysis, Deep Learning and Artificial Intelligence technologies and functionalities to extract structured information and knowledge from a variety of sources like articles, websites, social media, images, books, online discussions and more. This is done in multiple languages (currently 29), and on large amounts of data and content, obtaining big data which needs to be analyzed in order to extract meaning from it, in ways which are useful for policymaking.