This album was created with a process of AI and machine learning called Embodied Intelligence. This uses Creative AI datasets and algorithms to make music from the inside. A single AI-bot was developed to control the interaction of this free improvising garage band featuring sax, bass and drums. No human intervention was used, and the tracks are presented almost as they were recorded, with a minute amount of editing and mastering. Embodied Intelligence differs from other Music-AI approaches insofar that it is not using AI to construct the physical phenomena of music (i.e. the sound wave), nor the meta-workings of music composition (i.e. the organisation and sequencing of music theory). Instead the Creative AI is powering the realtime gen...
Groningen The objective of this project is to implement and study a model inspired by the mimetic ag...
Music composition requires years of experience in music theories and practices, but listening to mus...
Machine learning is challenging the way we make music. Although research in deep generative models h...
This album was created with a process of AI and machine learning called Embodied Intelligence. This ...
The music in each of these tracks was created with artificial intelligence and machine learning. You...
The application of artificial intelligence (AI) to music stretches back many decades, and presents n...
Artificial intelligence has been deployed to create competent music. Learning algorithms have been t...
How can we make music with artificial intelligence (AI) in the future? Unlike most studies on AI and...
Critical but often overlooked research questions in artificial intelligence (AI) applied to music in...
Artificial Intelligence is a rich and still-developing field with a number of musical applications. ...
In this paper we propose a framework to take the next step towards making creative machines. Taking ...
International audienceThis article presents a five-year collaboration situated at the intersection o...
Audio files used in a listener study to assess improvised performances featuring a human performer o...
The objective of this project is to implement and study a model inspired by the mimetic agents of Mi...
Artificial intelligence (AI) is going through a period of renewed interest and success thanks to the...
Groningen The objective of this project is to implement and study a model inspired by the mimetic ag...
Music composition requires years of experience in music theories and practices, but listening to mus...
Machine learning is challenging the way we make music. Although research in deep generative models h...
This album was created with a process of AI and machine learning called Embodied Intelligence. This ...
The music in each of these tracks was created with artificial intelligence and machine learning. You...
The application of artificial intelligence (AI) to music stretches back many decades, and presents n...
Artificial intelligence has been deployed to create competent music. Learning algorithms have been t...
How can we make music with artificial intelligence (AI) in the future? Unlike most studies on AI and...
Critical but often overlooked research questions in artificial intelligence (AI) applied to music in...
Artificial Intelligence is a rich and still-developing field with a number of musical applications. ...
In this paper we propose a framework to take the next step towards making creative machines. Taking ...
International audienceThis article presents a five-year collaboration situated at the intersection o...
Audio files used in a listener study to assess improvised performances featuring a human performer o...
The objective of this project is to implement and study a model inspired by the mimetic agents of Mi...
Artificial intelligence (AI) is going through a period of renewed interest and success thanks to the...
Groningen The objective of this project is to implement and study a model inspired by the mimetic ag...
Music composition requires years of experience in music theories and practices, but listening to mus...
Machine learning is challenging the way we make music. Although research in deep generative models h...