A comprehensive survey on deep music generation: Multi-level representations, algorithms, evaluations, and future directions
S Ji, J Luo, X Yang - arXiv preprint arXiv:2011.06801, 2020 - arxiv.org
The utilization of deep learning techniques in generating various contents (such as image,
text, etc.) has become a trend. Especially music, the topic of this paper, has attracted …
text, etc.) has become a trend. Especially music, the topic of this paper, has attracted …
Pop909: A pop-song dataset for music arrangement generation
Music arrangement generation is a subtask of automatic music generation, which involves
reconstructing and re-conceptualizing a piece with new compositional techniques. Such a …
reconstructing and re-conceptualizing a piece with new compositional techniques. Such a …
Music fadernets: Controllable music generation based on high-level features via low-level feature modelling
HH Tan, D Herremans - arXiv preprint arXiv:2007.15474, 2020 - arxiv.org
High-level musical qualities (such as emotion) are often abstract, subjective, and hard to
quantify. Given these difficulties, it is not easy to learn good feature representations with …
quantify. Given these difficulties, it is not easy to learn good feature representations with …
Groove2groove: One-shot music style transfer with supervision from synthetic data
Style transfer is the process of changing the style of an image, video, audio clip or musical
piece so as to match the style of a given example. Even though the task has interesting …
piece so as to match the style of a given example. Even though the task has interesting …
A tutorial on AI music composition
X Tan, X Li - Proceedings of the 29th ACM international conference …, 2021 - dl.acm.org
AI music composition is one of the most attractive and important topics in artificial
intelligence, music, and multimedia. The typical tasks in AI music composition include …
intelligence, music, and multimedia. The typical tasks in AI music composition include …
Loop copilot: Conducting ai ensembles for music generation and iterative editing
Creating music is iterative, requiring varied methods at each stage. However, existing AI
music systems fall short in orchestrating multiple subsystems for diverse needs. To address …
music systems fall short in orchestrating multiple subsystems for diverse needs. To address …
DadaGP: A dataset of tokenized GuitarPro songs for sequence models
Originating in the Renaissance and burgeoning in the digital era, tablatures are a commonly
used music notation system which provides explicit representations of instrument fingerings …
used music notation system which provides explicit representations of instrument fingerings …
Reconvat: A semi-supervised automatic music transcription framework for low-resource real-world data
Most of the current supervised automatic music transcription (AMT) models lack the ability to
generalize. This means that they have trouble transcribing real-world music recordings from …
generalize. This means that they have trouble transcribing real-world music recordings from …
Is disentanglement enough? On latent representations for controllable music generation
Improving controllability or the ability to manipulate one or more attributes of the generated
data has become a topic of interest in the context of deep generative models of music …
data has become a topic of interest in the context of deep generative models of music …
ComposeInStyle: Music composition with and without Style Transfer
S Mukherjee, M Mulimani - Expert Systems with Applications, 2022 - Elsevier
Every music composition has a composer at the core of its building block, molding it into a
style of their own. The creative compositional style of a composer varies dynamically with …
style of their own. The creative compositional style of a composer varies dynamically with …