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300 - Section on Statistical Learning and Data Science P.M. Roundtable Discussion (Added Fee)
Type: Roundtables
Date/Time: Tuesday, August 9, 2022 : 12:30 PM to 1:50 PM
Sponsor: Section on Statistical Learning and Data Science
Abstract #323138
Title: Statistics in Data Sonification
Author(s): Jami Mulgrave*
Companies: Making Music with AI Podcast
Keywords: data sonification; music; data science; visual display; auditory display; statistics
Abstract:

The use of sound to represent sequence data — sonification — has great potential as an alternative and complement to visual representation. However, widespread adoption of sonification to display complex data has largely failed to materialize. Major impediments to the widespread adoption of sonification include perceptual differences between vision and audition, substantial individual differences in auditory perception, musical biases of sonification researchers, and the interdisciplinary nature of the field. A large percentage of sonification researchers have some background in music. The overrepresentation of musicians in the sonification community has the potential to misalign the use of sonification with the listening practices and abilities of the general public. What part do we, as statisticians, play in this community? Should we get more involved in this field, and if so, how?


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