Collaborative Coding with Music: Two Case Studies with EarSketch

            
@inproceedings{2018_7,
  abstract = {This paper describes the motivation, design, and implementation of new features in EarSketch that enable the collaborative creation of algorithmic music. EarSketch is a web-based Digital Audio Workstation (DAW), designed primarily for educational contexts, in which users author Python or JavaScript code to programmatically create music within a multi-track paradigm. In this paper, we describe these new collaborative features in EarSketch and discuss their potential for use in both educational and music performance contexts.},
  address = {Berlin, Germany},
  author = {Sarwate, Avneesh and Tsuchiya, Takahiko and Freeman, Jason},
  booktitle = {Proceedings of the International Web Audio Conference},
  editor = {Monschke, Jan and Guttandin, Christoph and Schnell, Norbert and Jenkinson, Thomas and Schaedler, Jack},
  month = {September},
  pages = {},
  publisher = {TU Berlin},
  series = {WAC '18},
  title = {Collaborative Coding with Music: Two Case Studies with EarSketch},
  year = {2018},
  ISSN = {2663-5844}
}