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ItemStorage in Collaborative Networked Art(Georgia Institute of Technology, 2009) Freeman, Jason ; Georgia Institute of Technology. Center for Music TechnologyThis chapter outlines some of the challenges and opportunities associated with storage in networked art. Using comparative analyses of collaborative networked music as a starting point, this chapter explores how networked storage can transform the relationship between composition and improvisation; how it can influence network designs focused on shared material or shared control; how it can actively and autonomously manipulate its own contents; how it can circumvent problems of network latency and facilitate asynchronous collaboration; and how it can exist as a core component of a work’s design without being at the core of every user’s experience.
ItemDirected Evolution in Live Coding Music Performance(Georgia Institute of Technology, 2020-10-24) Dasari, Sandeep ; Freeman, Jason ; Georgia Institute of Technology. Center for Music TechnologyGenetic algorithms are extensively used to understand, simulate, and create works of art and music. In this paper, a similar approach is taken to apply basic evolutionary algorithms to perform music live using code. Often considered an improvisational or experimental performance, live coding music comes with its own set of challenges. Genetic algorithms offer potential to address these long-standing challenges. Traditional evolutionary applications in music focused on novelty search to create new sounds, sequences of notes or chords, and effects. In contrast, this paper focuses on live performance to create directed evolving musical pieces. The paper also details some key design decisions, implementation, and usage of a novel genetic algorithm API created for a popular live coding language.
ItemPromoting Intentions to Persist in Computing: An Examination of Six Years of the EarSketch Program(Georgia Institute of Technology, 2020-01-21) Wanzer, Dana Linnell ; McKlin, Thomas (Tom) ; Freeman, Jason ; Magerko, Brian ; Lee, Taneisha ; Georgia Institute of Technology. Center for Music Technology ; Georgia Institute of Technology. Center for Education Integrating Science, Mathematics, and ComputingBackground and Context: EarSketch was developed as a program to foster persistence in computer science with diverse student populations. Objective: To test the effectiveness of EarSketch in promoting intentions to persist, particularly among female students and under-represented minority students. Method: Meta-analyses, structural equation modeling, multi-level modeling, and qualitative analyses were performed to examine how participation in EarSketch and other factors affect students’ intentions to persist in computing. Findings: Students significantly increased their intentions to persist in computing, g=.40[.25,54], but examination within just the five quasi-experimental studies did not result in a significant difference for students in EarSketch compared to students not in EarSketch, g=.08[-.07, .23]. Student attitudes towards computing and the perceived authenticity of the EarSketch environment significantly predicted intentions to persist in computing. Implications: Participation in computer science education can increase students’ intentions to persist in programming, and EarSketch is one such program that can aid in these intentions.
ItemTechnology to Broaden Education( 2015-08-28) Freeman, Jason ; Guzdial, Mark ; Hoffman, Michael ; Moon, Nathan ; Georgia Institute of Technology. Ivan Allen College of Liberal Arts ; Georgia Institute of Technology. School of Literature, Media, and Communication ; Georgia Institute of Technology. College of Architecture ; Georgia Institute of Technology. College of Computing
ItemComposer, Performer, Listener(Georgia Institute of Technology, 2008-03-04) Freeman, Jason ; Georgia Institute of Technology. Library and Information Center ; Georgia Institute of Technology. Music Dept.Even as social networking, multi-player gaming, and collaborative content creation become increasingly important in our lives, concert musical performance continues to follow a model in which the audience remains passive, with little connection to the composer, to the performers, or to each other. Freeman, an assistant professor in the Music Department, will explore how technology can transform the concert experience by inviting the audience to shape the music as it is performed or by engaging audiences in personalized musical experiences online.
ItemComposer, Performer, Listener(Georgia Institute of Technology, 2010-11-18) Freeman, Jason ; Georgia Institute of Technology. College of Architecture ; Georgia Institute of Technology. School of MusicJason Freeman’s works break down conventional barriers between composers, performers, and listeners, using cutting-edge technology and unconventional notation to turn audiences and musicians into compositional collaborators. His music has been performed by the American Composers Orchestra, Speculum Musicae, the So Percussion Group, the Rova Saxophone Quartet, the Nieuw Ensemble, Le Nouvel Ensemble Moderne, and Evan Ziporyn; and his works have been featured at the Lincoln Center Festival, the Boston CyberArt Festival, 01SJ, and the Transmediale Festival and featured in the New York Times and on National Public Radio. N.A.G. (Network Auralization for Gnutella) (2003), a commission from Turbulence.org, was described by Billboard as “…an example of the web’s mind-expanding possibilities.”
ItemData-Driven Live Coding with DataToMusic API(Georgia Institute of Technology, 2016-04) Tsuchiya, Takahiko ; Freeman, Jason ; Lerner, Lee W. ; Georgia Institute of Technology. Center for Music Technology ; Georgia Tech Research InstituteCreating interactive audio applications for web browsers often involves challenges such as time synchronization between non-audio and audio events within thread constraints and format-dependent mapping of data to synthesis parameters. In this paper, we describe a unique approach for these issues with a data-driven symbolic music application programming interface (API) for rapid and interactive development. We introduce DataToMusic (DTM) API, a data-sonification tool set for web browsers that utilizes the Web Audio API1 as the primary means of audio rendering. The paper demonstrates the possibility of processing and sequencing audio events at the audio-sample level by combining various features of the Web Audio API, without relying on the ScriptProcessorNode, which is currently under a redesign. We implemented an audio event system in the clock and synthesizer classes in the DTM API, in addition to a modular audio effect structure and a exible data-to-parameter mapping interface. For complex real-time configuration and sequencing, we also present a model system for creating reusable functions with a data-agnostic interface and symbolic musical transformations. Using these tools, we aim to create a seamless connection between high-level (musical structure) and low-level (sample rate) processing in the context of real-time data sonification.