no code implementations • 15 May 2024 • Emilian Postolache, Natalia Polouliakh, Hiroaki Kitano, Akima Connelly, Emanuele Rodolà, Taketo Akama
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.
no code implementations • 15 Apr 2023 • Taketo Akama, Hiroaki Kitano, Katsuhiro Takematsu, Yasushi Miyajima, Natalia Polouliakh
In the realm of music information retrieval, similarity-based retrieval and auto-tagging serve as essential components.