research community

artificial.fm

A research community at the intersection of artificial intelligence and music. We study how machines learn to listen, compose, and understand sound.

about

artificial.fm is a community of researchers, musicians, and engineers exploring what happens when computation meets composition. We share papers, build tools, run experiments, and think carefully about the future of music.

Our work spans generative models, signal processing, music theory, and everything in between. We believe the most interesting work happens at the boundaries.

research areas
01
Generative Composition
Neural networks that compose, arrange, and improvise across genres and structures.
02
Audio Synthesis
Waveform generation, neural vocoders, and differentiable signal processing.
03
Music Information Retrieval
Transcription, source separation, beat tracking, and structural analysis.
04
Computational Musicology
Formal analysis of harmony, rhythm, and style through computational methods.
05
Neural Audio Codecs
Learned compression, tokenization, and discrete representations of sound.
06
Human-AI Interaction
Co-creative tools, embodied agents, and the musician-machine interface.
signal
$ cat /etc/motd

welcome to artificial.fm
last login: the future

$ ls ./current
reading-group/  papers/  experiments/  discussions/

$ echo $STATUS
accepting new members. come build with us.

Interested in joining?

We're a small, thoughtful group. If you're working on AI and music — or want to be — we'd like to hear from you.

get in touch