Freeman, Jason

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Now showing 1 - 10 of 15
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    Directed Evolution in Live Coding Music Performance
    (Georgia Institute of Technology, 2020-10-24) Dasari, Sandeep ; Freeman, Jason ; College of Design ; School of Music
    Genetic 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.
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    Composer, Performer, Listener
    (Georgia Institute of Technology, 2008-03-04) Freeman, Jason ; Library ; 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.
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    Multi-Modal Web-Based Dashboards for Geo-Located Real-Time Monitoring
    (Georgia Institute of Technology, 2016-04) Winters, R. Michael ; Tsuchiya, Takahiko ; Lerner, Lee W. ; Freeman, Jason ; School of Music ; College of Design
    This paper describes ongoing research in the presentation of geo-located, real-time data using web-based audio and visualization technologies. Due to both the increase of devices and diversity of information being accumulated in real-time, there is a need for cohesive techniques to render this information in a useable and functional way for a variety of audiences. We situate web-sonification|sonification of web- based information using web-based technologies|as a particularly valuable avenue for display. When combined with visualizations, it can increase engagement and allow users to profit from the additional affordances of human hearing. This theme is developed in the description of two multi-modal dashboards designed for data in the context of the Internet of Things (IoT) and Smart Cities. In both cases, Web Audio provided the back-end for sonification, but a new API called DataToMusic (DTM) was used to make common sonification operations easier to implement. DTM provides a valuable framework for web-sonification and we highlight its use in the two dashboards. Following our description of the implementations, the dashboards are compared and evaluated, contributing to general conclusions on the use of web-audio for sonification, and suggestions for future dashboards.
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    Technology to Broaden Education
    ( 2015-08-28) Freeman, Jason ; Guzdial, Mark ; Hoffman, Michael ; Moon, Nathan ; School of Literature, Media, and Communication ; Ivan Allen College of Liberal Arts ; Georgia Institute of Technology. College of Architecture ; Georgia Institute of Technology. College of Computing
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    An interactive, graphical coding environment for EarSketch online using Blockly and Web Audio API
    (Georgia Institute of Technology, 2016-04) Mahadevan, Anand ; Freeman, Jason ; Magerko, Brian ; School of Music ; College of Design ; Georgia Institute of Technology. Digital Media Program
    This paper presents an interactive graphical programming environment for EarSketch, using Blockly and Web Audio API. This visual programming element sidesteps syntac- tical challenges common to learning text-based languages, thereby targeting a wider range of users in both informal and academic settings. The implementation allows seamless integration with the existing EarSketch web environment, saving block-based code to the cloud as well as exporting it to Python and JavaScript.
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    Storage in Collaborative Networked Art
    (Georgia Institute of Technology, 2009) Freeman, Jason ; College of Design ; School of Music
    This 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.
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    Data-Driven Live Coding with DataToMusic API
    (Georgia Institute of Technology, 2016-04) Tsuchiya, Takahiko ; Freeman, Jason ; Lerner, Lee W. ; School of Music ; College of Design
    Creating 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.
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    A JavaScript Pitch Shifting Library for EarSketch with Asm.js
    (Georgia Institute of Technology, 2016-04) Martinez, Juan Carlos ; Freeman, Jason ; School of Music ; College of Design
    A JavaScript pitch shifting library based on asm.js was developed for the EarSketch website. EarSketch is a Web Audio API-based educational website that teaches computer science principles through music technology and composition. Students write code in Python and JavaScript to manipulate and transform audio loops in a multi-track digital audio workstation paradigm. The pitchshifting library provides a cross-platform, client-side pitchshifting service to EarSketch to change the pitch of audio loop files without modifying their playback speed. It replaces a previous server-side pitch-shifting service with a noticeable increase in performance. This paper describes the implementation and performance of the library transpiled from a set of basic DSP routines written in C and converted to Asm JavaScript using emscripten.
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    Live Coding With EarSketch
    (Georgia Institute of Technology, 2016-04) Freeman, Jason ; School of Music ; College of Design
    EarSketch combines a Python / JavaScript API, a digital audio workstation (DAW) visualization, an audio loop library, and an educational curriculum into a web-based music programming environment. While it was designed originally as a classroom educational tool for music technology and computer science, it has recently been expanded to support live coding in concert performance. This live coding performance explores the artistic potential of algorithmic manipulations of audio loops in a multi-track DAW paradigm and explores the potential of DAW-driven visualizations to demystify live coding and algorithms for a concert audience.
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    Data-to-music API: Real-time data-agnostic sonification with musical structure models
    (Georgia Institute of Technology, 2015-07) Tsuchiya, Takahiko ; Freeman, Jason ; Lerner, Lee W. ; Sonification Lab ; Georgia Tech Research Institute. Configurable Computing & Embedded Systems Laboratory
    In sonification methodologies that aim to represent the underlying data accurately, musical or artistic approaches are often dismissed as being not transparent, likely to distort the data, not generalizable, or not reusable for different data types. Scientific applications for sonification have been, therefore, hesitant to use approaches guided by artistic aesthetics and musical expressivity. All sonifications, however, may have musical effects on listeners, as our trained ears with daily exposure to music tend to naturally distinguish musical and non-musical sound relationships, such as harmony, rhythmic stability, or timbral balance. This study proposes to take advantage of the musical effects of sonification in a systematic manner. Data may be mapped to high-level musical parameters rather than to one-to-one low-level audio parameters. An approach to create models that encapsulate modulatable musical structures is proposed in the context of the new DataTo- Music JavaScript API. The API provides an environment for rapid development of data-agnostic sonification applications in a web browser, with a model-based modular musical structure system. The proposed model system is compared to existing sonification frameworks as well as music theory and composition models. Also, issues regarding the distortion of original data, transparency, and reusability of musical models are discussed.