Naturalistic Music Decoding from EEG Data via Latent Diffusion Models

arXiv:2405.09062v1 Announce Type: cross
Abstract: In this article, we explore the potential of using latent diffusion models, a family of powerful generative models, for the task of reconstructing naturalistic music from electroencephalogram (EEG) recordings. Unlike simpler music with limited timbres, such as MIDI-generated tunes or monophonic pieces, the focus here is on intricate music featuring a diverse array of instruments, voices, and effects, rich in harmonics and timbre. This study represents an initial foray into achieving general music reconstruction of …

abstract article arxiv cs.lg cs.sd data decoding diffusion diffusion models eeg eess.as explore family focus generated generative generative models latent diffusion models music type via