Composing Innovation

Gil Weinberg and the faculty and students at the Georgia Tech Center for Music Technology bring the Georgia Tech tradition of groundbreaking research and creative problem solving to the world of audio. Just a few of the more notable products of their research include:

The Robotic Musicianship Group aims to facilitate meaningful musical interactions between humans and machines, leading to novel musical experiences and outcomes. In our research we combine computational modeling approaches for perception, interaction, and improvisation, with novel approaches for generating acoustic responses in physical and visual manners. The motivation for this work is based on the hypothesis that real-time collaboration between human and robotic players can capitalize on the combination of their unique strengths to produce new and compelling music. Our goal is to combine human qualities such musical expression and emotions with robotic traits such as powerful processing, the ability to perform sophisticated mathematical transformations, robust long-term memory, and the capacity to play accurately without practice.

EarSketch is a computer science learning environment and curriculum that seeks to increase and broaden participation in computing using a STEAM (STEM + Arts) approach. EarSketch creates an authentic learning environment in that it is both personally meaningful and industry relevant in terms of its STEM component (computing) and its artistic domain (music remixing). Students learn to code in JavaScript or Python, tackling learning objectives in the Computer Science Principles curricular framework as they simultaneously learn core concepts in music technology. They create music through code by uploading their own audio content or remixing loops in popular genres created by music industry veterans. No prior experience in music or computer science is required. EarSketch is entirely browser-based and free. In 2015 it was studied in 3 Georgia high schools, and in 2016 it will be studied in 19 Georgia CSP classes. Over 50,000 unique users from all 50 states and 100+ countries have made music with EarSketch.

The Music Informatics group designs algorithms and software to enable new ways of producing, accessing and enjoying digital music. This includes, but is not limited too, tonal and temporal analysis, genre classification, musical performance analysis, and a variety of other topics from the fields of audio content analysis, music information retrieval, and intelligent music software.

For more information, or to check out the latest projects the Center for Music Technology is developing, visit their site here.