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ItemMulti-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 ; Georgia Tech Research Institute ; Georgia Institute of Technology. Center for Music TechnologyThis 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.
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.