MuSA_RT
MuSA_RT Summary
MuSA_RT is a mobile iOS app in Music And Audio by Alexandre Francois. Released in Jul 2012 (13 years ago). It has 1.00 ratings with a 5.00★ (excellent) average. Store metadata: updated Nov 20, 2024.
Store info: Last updated on App Store on Nov 20, 2024 .
5★
Ratings: 1.00
Screenshots
App Description
MuSA_RT applies music analysis algorithms rooted in Elaine Chew’s Spiral Array model of tonality, which also provides the 3D geometry for the visualization space. The app analyzes the audio signal received from a microphone to determine pitch names, maintain short term and longterm tonal context trackers, each a Center of Effect (CE), and compute the closest triads (3-note chords) and keys as the music unfolds in performance.
The 3D view presents a graphical representations of these tonal entities in context, smoothly rotating the virtual camera to provide an unobstructed view of the current information. These graphics can also be visualized in an experimental Augmented Reality mode on compatible devices.