A picture of a robotic drummer



The School of Music incorporates Georgia Tech Center for Music Technology research into all our degree programs. Every student majoring in music technology is also a researcher, collaborating with our faculty on groundbreaking topics within the center's labs:

Computational and Cognitive Musicology

The Computational and Cognitive Musicology group aims to answer questions about musical structure and organization, and how people respond to those structures, using scientific methodology. We build user-friendly technologies to assist scholars, educators, and music lovers.

Computational Music for All

Enables mass-audience participation in live concert performances through real-time music notation systems, connecting the audience to the performer. This research also develops transformative technologies for music education for STEAM (STEM + Arts) classrooms and studies the impact of music, technology, and creativity on the ways people learn.

Interactive and Immersion

The Lab for Interaction and Immersion explores technologies and artistic concepts for human-machine and human-human interaction in music and sound art, with a focus on spatial audio and immersive experiences. 

Interactive Music, Performance, Audio, and Creative Technologies

The Interactive Music, Performance, Audio, and Creative Technologies (IMPACT) Lab is a space for interdisciplinary exploration at the intersection of music, technology, and performance; our research explores musical expression through the creation of new musical interfaces and interactive computer systems and capturing performance with musically versatile audio recording and production techniques.

Music Informatics

Teaches computers to listen to and understand music, incorporating a variety of topics from the fields of audio content analysis and music processing. It includes such tasks as transcribing musical scores, identifying instruments, or automatically assessing music performances.

Robotic Musicianship

Researches methods of creating meaningful musical interactions between humans and machines, through novel experiences and outcomes. This work combines the emotion and expression of human musicians with the power processing and note accuracy of robotics.


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