Abstract
Future advances in science, engineering, and medicine depend on the ability to comprehend the vast amounts of data being produced and acquired. Data visualization is a key enabling technology in this endeavor: it helps people explore and explain data through software systems that provide a static or interactive visual representation. Despite the promise that visualization can serve as an effective enabler of advances in other disciplines, the application of visualization technology is non-trivial. The design of effective visualizations is a complex process that requires understanding of existing techniques and how they relate to human cognition. For a visualization to be insightful, it needs to be both effective and efficient. This requires a combination of design and science to reveal information that is otherwise obscured. In this talk, we will give a general background for data visualization, and present some work on interactive visualization techniques and tools for a variety of analysis purposes, including signal processing, some of which can be repurposed for the analysis of audio data.
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