ΑΙhub.org
 

Improvising with an AI musician

by
28 October 2020



share this:
piano | AIhub

For those interested in music and AI, a session on “Human collaboration with an AI musician” at the AI for Good global summit proved to be a real treat. The session included a performance between two musicians situated on opposite sides of the globe who improvised alongside the third member of the group – an AI “musician”.

Researchers and musicians have been experimenting with machine learning algorithms for a number of years now. There has been much work devoted to recreating specific styles of music, from Bach to The Beatles and from Mozart to Mogwai. This year even saw AI-assisted song writing collide with the world of Eurovision in the AI Song Contest.

As any musician will tell you, group improvisation is perhaps the most difficult skill to master. It requires a very high level of creativity, skill, empathy and intuition. Researchers at the University of Monash and Goldsmith’s (University of London) entered into this complex world and went one step further – introducing an AI improvisor into the mix. In the video you can watch Mark d’Inverno on piano and Alon Ilsar on AirSticks (an electronic percussive instrument developed at Monash), with the AI improvisor taking the lead from Mark and its music being transmitted across the globe to Alon.

You can watch the session in full here.

As part of this session attendees also got to see four different versions of an algorithmic improvisor in action as Mark played alongside this AI “musician”. Researcher Matthew Yee-King was on hand to explain the basics of each iteration of the model. The basis for the algorithms is a variable-order Markov model.

Following the demonstrations and explanations, there was a discussion about the role of AI in music. Crucially, all involved in this project were keen to stress that they are not looking at bettering or replacing human musicians, rather they want to support and expand human creativity. The hope is that playing alongside algorithmically generated music will stimulate musicians to explore new ways of improvisation. From watching the demonstrations it was clear that this is definitely possible. It will be very interesting to see how this field of creative research develops.




Lucy Smith , Managing Editor for AIhub.
Lucy Smith , Managing Editor for AIhub.




            AIhub is supported by:


Related posts :



Learning programs with numerical reasoning

Introducing a novel approach to efficiently learning programs with numerical values
13 June 2024, by

Interview with Tianfu Wang: A reinforcement learning framework for network resource allocation

Addressing resource allocation problems in the domain of network virtualization.
12 June 2024, by

Congratulations to the #IJCAI2024 award winners

The winners of three prestigious IJCAI awards for 2024 have been announced.
11 June 2024, by

Forthcoming machine learning and AI seminars: June 2024 edition

A list of free-to-attend AI-related seminars that are scheduled to take place between 10 June and 31 July 2024.
10 June 2024, by

Tweet round-up from #ICWSM24

Find out what participants got up to at the International Conference on Web and Social Media
10 June 2024, by

Interview with AAAI Fellow Mausam: talking information extraction, mentorship, and creativity

We spoke to Professor Mausam about his research, career path, and being selected as a 2024 AAAI Fellow.
06 June 2024, by




AIhub is supported by:






©2024 - Association for the Understanding of Artificial Intelligence


 












©2021 - ROBOTS Association