Artículos (GIDITIC)

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https://hdl.handle.net/10784/7942

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Examinando Artículos (GIDITIC) por Autor "Agón, Carlos"

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    Gelisp: A Library to Represent Musical Constraint Satisfaction Problems and Search Strategies.
    (Asian Research Publishing Network, 2016-04-02) Mauricio Toro; Rueda, Camilo; Agón, Carlos; Mauricio Toro; Rueda, Camilo; Agón, Carlos; Universidad EAFIT. Departamento de Ingeniería de Sistemas; I+D+I en Tecnologías de la Información y las Comunicaciones
    In this paper we present Gelisp, a new library to represent musical Constraint Satisfaction Problems and search strategies intuitively. Gelisp has two interfaces, a command-line one for Common Lisp and a graphical one for OpenMusic. Using Gelisp, we solve
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    Ítem
    NTCCRT: A concurrent constraint framework for soft-real time music interaction
    (Asian Research Publication Network, 2015-12-10) Toro, Mauricio; Rueda, Camilo; Agón, Carlos; Assayag, Gérard; Asstt Prof., Department of Informatics and Systems, UNIVERSIDAD EAFIT, Colombia; Prof., Department of Computer Science, PONTIFICIA UNIVERSIDAD JAVERIANA CALI, Colombia; Prof., Music Modeling Team, IRCAM, UMR 9912 CNRS, France; Dr., Music Modeling Team, IRCAM, UMR 9912 CNRS, France; Universidad EAFIT. Departamento de Ingeniería de Sistemas; I+D+I en Tecnologías de la Información y las Comunicaciones
    Writing music interaction systems is not easy because their concurrent processes usually access shared resources in a non-deterministic order, often leading to unpredictable behavior. Using Pure Data (Pure Data) and Max/MSP, it is possible to program concurrency; however, it is difficult to synchronize processes based on multiple criteria. Process calculi such as the Non-deterministic Timed Concurrent Constraint (ntcc) calculus, overcome that problem by representing, declaratively, the synchronization of multiple criteria as constraints. In this article, we propose the framework Ntccrt, as a new alternative to manage concurrency in Pure Data and Max/MSP. Ntccrt is a real-time capable interpreter for ntcc. Using Ntccrt binary plugins in Pure Data, we executed models for machine improvisation and signal processing. We also analyzed two case studies: one of a machine improvisation system and one of a signal processing system. We found out that performance of both case studies is compatible with soft real-time music interaction; it means, a musician can interact with Ntccrt without noticeable delays during the interaction.