Results 51 to 60 of about 23,204 (110)

Generating Music, AI and Energy

Musicology Today
This article explores the intersection of artificial intelligence and music, focusing on the conceptual foundations of AI in music generation. It underscores the technological advancements and limitations of AI in capturing the nu-anced elements of ...
Strzelecki Marcin
doaj   +1 more source

A Focused Survey of Generative AI-Based Music Therapy Systems: Recent Progress and Open Challenges

Applied Sciences
Generative artificial intelligence (AI)-based music generation has the potential to create new opportunities for music therapy; however, integrated examinations of generative AI and music therapy remain limited.
Jin S. Seo
doaj   +1 more source

Six Dragons Fly Again: A Journey of Reviving 15th‑Century Korean Court Music

Transactions of the International Society for Music Information Retrieval
Despite the expanding research on symbolic music generation, there has been limited application of this to musical repertoires beyond the West. We introduce a project that revives pieces of 15th‑century Korean court music, Chihwapyeong and Chwipunghyeong,
Danbinaerin Han, Mark Gotham, Dongmin Kim, Hannah Park, Sihun Lee, Jeonggyeong Park, Dasaem Jeong   +6 more
doaj   +1 more source

The Usage of Artificial Intelligence Technology in Music Education System Under Deep Learning

IEEE Access
This work addresses the needs of the music generation field by developing a music generation system based on an advanced Transformer model. The system incorporates an adaptive music feature encoder and a music emotion-driven multi-task learning framework.
Yinchi Chen, Yan Sun
doaj   +1 more source

The Psychological Education Strategy of Music Generation and Creation by Generative Confrontation Network under Deep Learning.

Comput Intell Neurosci, 2022
Hu J, Ge Z, Wang X.
europepmc   +1 more source

Enhancing long-term structure in symbolic music generation via a cascaded Skeleton-to-texture framework. [PDF]

Sci Rep
Yalan Y.
europepmc   +1 more source

Text-to-music generation models capture musical semantic representations in the human brain. [PDF]

Nat Commun
Denk TI, Takagi Y, Matsuyama T, Agostinelli A, Nakai T, Frank C, Nishimoto S.   +6 more
europepmc   +1 more source

Random rotational embedding Bayesian optimization for human-in-the-loop personalized music generation. [PDF]

PLoS One
Marcos M, Mur-Labadia L, Martinez-Cantin R.   +2 more
europepmc   +1 more source

Music informer as an efficient model for music generation. [PDF]

Sci Rep
Sun H, Wang X, Wang Y, Lu P.
europepmc   +1 more source

ERLD-HC: Entropy-Regularized Latent Diffusion for Harmony-Constrained Symbolic Music Generation. [PDF]

Entropy (Basel)
Li Y.
europepmc   +1 more source