The words you and I might use every day to describe sound.
“sharp” · “loud” · “distorted”
RESEARCH DESIGN PRESENTATION
Designing machine learning audio
effects with musicians.
Oliver Boorstein
with Dr. Jon Bellona
Can input for support musical creativity while keeping in control of every ?
Digital tools that alter aspects of sound.
Equalizer → frequency · Delay → time
Here: musicians using Digital Audio Workstations (DAWs).
The exact settings of the audio effects and their parameters.
THE IDEA
See what changed.
Keep changing it.
“Make it brighter”
THE APPROACH
Build in summer.
Study use in fall.
Build
Faculty
feedback
Revise
Student
sessions
Summer
Fall
WHAT I’LL OBSERVE
Student musicians will complete three short activities.
Mix
Students bring the tool into their own creative workflow.
Explain
Students predict what will change, listen, and describe what they hear.
Challenge
Students test familiar descriptions like “underwater” and “telephone.”
Across sessions I'll track where students struggle and address design issues.
QUESTIONS?
Keys
← → steps / slides
A / B audio
1–6 jump
Esc close