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Data Sonification
Case ID:
190-2029
Web Published:
7/11/2023
An automated digital engine that translates numerical sequences into sound. Background: Sonification is an effective tool for trend analysis and anomaly detection that interprets large amounts of data and provide analysis through non-speech audio such as music. Through the NSF I-Corps National teams grant, the inventors are aiming to solve the problem investors have in fintech to save time interpreting stocks. The technology initiated from an NSF Artists and Writers Fellowship McClure received to join a team of climate scientists in Antarctica in 2016, where he gathered seismic data that he later converted to sound in choral and instrumental musical compositions. Technology Overview: Music in the Numbers reduces visual data overload by converting numerical sequences of archived and real-time data into musical sounds that can be used in trend analysis and more. This user-focused design, developed by SUNY Geneseo researchers, allows customers to mold and shape their audio soundscape experience. The automated digital engine is driven by novel sonification software that produces sound by translating numerical sequences of archived and real-time data.
Further Details:
https://www.nsf.gov/awardsearch/showAwardAWD\_ID=1834992&HistoricalAwards=false
https://www.geneseo.edu/news/mcclure-receives-nsf-grant-data-sound-conversion-project
https://www.geneseo.edu/news/cj-burke-19-takes-lead-data-sound-innovation-team
https://www.geneseo.edu/news/songs-ice-antarctica-research-combines-math-music-and-nature
Advantages:
Efficient analysis of large amounts of data
Ability to track multiple acoustic variables
Customization of audio background
The individual user can choose incoming data
Applications:
Finance
Manufacturing
Health care, especially intensive or emergency care
Air traffic control
Security
Defense
Intellectual Property Summary: Copyright
Stage of Development: Technology Readiness Level (TRL) 2-3 Licensing Status: This technology is available for licensing. https://suny.technologypublisher.com/files/sites/190-2029dima-novozhilov-wkrpoqrl0nq-unsplash.jpg
Patent Information:
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Direct Link:
https://canberra-ip.technologypublisher.com/tech/Data_Sonification
Keywords:
#SUNYresearch
Technologies
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For Information, Contact:
Karl-Heinz Schofalvi
The Research Foundation for The State University of New York
Karl-Heinz.Schofalvi@rfsuny.org