Jazz-Playing Robots Will Explore Human–Computer Relations

MUSICA is part of a new DARPA program to explore new ways that people can interact with computers and robots

Join Our Community of Science Lovers!

Jazz-playing computers and robots could soon yield clues about how to help people collaborate with machines, researchers say.

The new project, called MUSICA (short for Musical Improvising Collaborative Agent), aims to develop a musical device that can improvise a jazz solo in response to human partners, just as real jazz musicians improvisealongside one another.

MUSICA is part of a new program from the Defense Advanced Research Projects Agency (DARPA), the branch of the U.S. military responsible for developing new technologies. The project is designed to explore new ways that people can interact with computers and robots. [Super-Intelligent Machines: 7 Robotic Futures]


On supporting science journalism

If you're enjoying this article, consider supporting our award-winning journalism by subscribing. By purchasing a subscription you are helping to ensure the future of impactful stories about the discoveries and ideas shaping our world today.


"There is definitely a desire for more natural kinds of communications with computational systems as they grow in their ability to be intelligent," Ben Grosser, an assistant professor of new media at the University of Illinois at Urbana-Champaign, told Live Science. "A lot of us are familiar with various methods of interacting with computers, such as text-based and touch-based interfaces, but language-based interfaces such as Siri or Google Now are extremely limited in their capabilities."

Grosser and his colleague Kelland Thomas, an associate professor of music at the University of Arizona, are developing MUSICA to explore how people can communicate with one another without language. "That could make interactions between humans and machines a lot deeper," said Grosser, who himself is a jazz trumpeter. "When it comes to jazz, you feel the music as much as you hear and think about it—you react instinctively to things that are going on."

To develop a machine capable of playing improvisational jazz, the researchers will create a database of jazz solos from a variety of musicians and have computers analyze the recordings to figure out the various processes that come into play when a musician improvises. The researchers will then develop a performance system to analyze the components of human jazz performances, including the beat, pitch, harmony and rhythm. The system will also consider what it has learned about jazz solos to communicate and respond musically in real time.

"Our goal is to by next summer present a 'call and answer' system to DARPA, where I can play a line of music, and the system will analyze that line and give an answer as close to real time as possible," Grosser said.

The researchers admit the project may seem unusual.

"Let's face it—trying to develop a system that can play jazz is a crazy idea," Grosser said. "It's not going to be Miles Davis. I think if we can make this thing play like a high schooler, we'll really have done our job."

Ultimately, Grosser hoped this research could shed light on the nature of the creative process. "By finding the limits of computational creativity, we can get a different understanding of human creativity, on our own creative processes," Grosser said.

Copyright 2015 LiveScience, a Purch company. All rights reserved. This material may not be published, broadcast, rewritten or redistributed.

Charles Q. Choi is a frequent contributor to Scientific American. His work has also appeared in The New York Times, Science, Nature, Wired, and LiveScience, among others. In his spare time, he has traveled to all seven continents.

More by Charles Q. Choi

LiveScience is one of the biggest and most trusted popular science websites operating today, reporting on the latest discoveries, groundbreaking research and fascinating breakthroughs that impact you and the wider world.

More by LiveScience

It’s Time to Stand Up for Science

If you enjoyed this article, I’d like to ask for your support. Scientific American has served as an advocate for science and industry for 180 years, and right now may be the most critical moment in that two-century history.

I’ve been a Scientific American subscriber since I was 12 years old, and it helped shape the way I look at the world. SciAm always educates and delights me, and inspires a sense of awe for our vast, beautiful universe. I hope it does that for you, too.

If you subscribe to Scientific American, you help ensure that our coverage is centered on meaningful research and discovery; that we have the resources to report on the decisions that threaten labs across the U.S.; and that we support both budding and working scientists at a time when the value of science itself too often goes unrecognized.

In return, you get essential news, captivating podcasts, brilliant infographics, can't-miss newsletters, must-watch videos, challenging games, and the science world's best writing and reporting. You can even gift someone a subscription.

There has never been a more important time for us to stand up and show why science matters. I hope you’ll support us in that mission.

Thank you,

David M. Ewalt, Editor in Chief, Scientific American

Subscribe