Abstract Using sound to represent data (data sonification) and exploiting the unique characteristics of sound and human hearing can provide a powerful means to enhance scientific discovery in large datasets, rapid real-time data analyses, high dimensional analyses, and to filter signals from noise. Data sonification can be used to expand, accelerate, and validate discovery for sighted, blind and visually-impaired researchers and provides capabilities to improve the quality of everyday life. We describe improvements to StarSound for 1D and multi-dimensional analyses, introduce VoxMagellan for 2D image, plot and graph analyses, discuss applications in astronomy and for low signal-to-noise ratio data, often present at the leading-edge of science. We find that data sonification can successfully push scientific research forward and expand research accessibility to the blind and visually-impaired community, while promoting STEM careers.
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Jeff Cooke
Jeff Hannam
Garry FORAN
Proceedings of the International Astronomical Union
RMIT University
Swinburne University of Technology
Australian Research Council
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Cooke et al. (Fri,) studied this question.
www.synapsesocial.com/papers/69ec5ae988ba6daa22dac6e1 — DOI: https://doi.org/10.1017/s1743921325001802