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Freeman, Jason

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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 ; Georgia Institute of Technology. School of Music
    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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    Data-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 Institute
    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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    Directed Evolution in Live Coding Music Performance
    (Georgia Institute of Technology, 2020-10-24) Dasari, Sandeep ; Freeman, Jason ; Georgia Institute of Technology. Center for Music Technology
    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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    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 ; Dolby Laboratories ; Georgia Institute of Technology. School of Music ; 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.