Data Sonification

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.